Hon Hai Precision Industry Co., Ltd.

Taiwan, Province of China

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        Patent 4,071
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        United States 4,062
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        Canada 7
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[Owner] Hon Hai Precision Industry Co., Ltd. 4,126
Hong Fu Jin Precision Industry (ShenZhen) Co., Ltd. 132
Hong Fu Jin Precision Industry (WuHan) Co., Ltd. 53
Fu Ding Electronical Technology (Jiashan) Co.,Ltd. 52
HongFuJin Precision Industry (Wuhan) Co., Ltd. 18
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Date
New (last 4 weeks) 12
2024 June (MTD) 5
2024 May 13
2024 April 6
2024 March 11
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IPC Class
B82Y 30/00 - Nanotechnology for materials or surface science, e.g. nanocomposites 158
H01L 51/00 - Solid state devices using organic materials as the active part, or using a combination of organic materials with other materials as the active part; Processes or apparatus specially adapted for the manufacture or treatment of such devices, or of parts thereof 155
B82Y 40/00 - Manufacture or treatment of nanostructures 118
G06F 3/041 - Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means 116
H01R 12/00 - Structural associations of a plurality of mutually-insulated electrical connecting elements, specially adapted for printed circuits, e.g. printed circuit boards [PCB], flat or ribbon cables, or like generally planar structures, e.g. terminal strips, ; Coupling devices specially adapted for printed circuits, flat or ribbon cables, or like generally planar structures; Terminals specially adapted for contact with, or insertion into, printed circuits, flat or ribbon cables, or like generally planar structures 85
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NICE Class
09 - Scientific and electric apparatus and instruments 45
42 - Scientific, technological and industrial services, research and design 23
35 - Advertising and business services 14
40 - Treatment of materials; recycling, air and water treatment, 12
11 - Environmental control apparatus 6
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Status
Pending 355
Registered / In Force 3,771
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1.

ORGANIC-INORGANIC COMPOSITE ELECTROLYTE AND PREPARATION METHOD THEREOF AND BATTERY

      
Application Number 18530652
Status Pending
Filing Date 2023-12-06
First Publication Date 2024-06-13
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • SolidEdge Solution Inc. (Taiwan, Province of China)
Inventor
  • Chen, Mao-Sung
  • Lai, Hong-Zheng
  • Chang, Tseng-Lung

Abstract

An organic-inorganic composite electrolyte comprises a plurality of metal cations, a plurality of organic polymer groups, a plurality of negatively charged ion groups and a plurality of salt anions. At least part of the plurality of metal cations is combined with the plurality of organic polymer groups, the plurality of negatively charged ion groups and the plurality of salt anions via covalent bonds.

IPC Classes  ?

2.

ROBOT USING LIMITING DEVICE FOR LOCKING BATTERY

      
Application Number 18582844
Status Pending
Filing Date 2024-02-21
First Publication Date 2024-06-13
Owner
  • Futaijing Precision Electronics (Yantai) Co., Ltd. (China)
  • Hon Hai Precision Industry Co., Ltd. (Taiwan, Province of China)
Inventor
  • Kao, Chen-Ting
  • Wen, Chi-Cheng
  • Chang, Yu-Sheng
  • Lee, Chih-Cheng
  • Wu, Chiung-Hsiang
  • Yen, Sheng-Li
  • Zhang, Yu-Cheng
  • Hsieh, Chang-Ju
  • Chao, Chen

Abstract

A robot includes a limit device and an energy storehouse, the limiting device may lock or loosen a battery opened in the energy storehouse, the limiting device includes a first connecting member, a transmission rod, and a second connecting member. The first connecting member includes a first main body portion and two first connecting elements arranged at intervals. The two first connecting elements are respectively connected to the first main body. The transmission rod includes a first end and a second end arranged at intervals. The first end penetrates through one of the two first connecting elements. The second end penetrates through the other one of the two first connecting element. The second connecting member includes two indexing buckles arranged at intervals, each of the indexing buckles includes a first limiting groove and a second limiting groove.

IPC Classes  ?

  • H01M 50/249 - Mountings; Secondary casings or frames; Racks, modules or packs; Suspension devices; Shock absorbers; Transport or carrying devices; Holders specially adapted for aircraft or vehicles, e.g. cars or trains
  • B25J 19/00 - Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
  • E05D 3/18 - Hinges with pins with two or more pins with sliding pins or guides
  • F16M 13/02 - Other supports for positioning apparatus or articles; Means for steadying hand-held apparatus or articles for supporting on, or attaching to, an object, e.g. tree, gate, window-frame, cycle

3.

LANE LINE RECOGNITION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM

      
Application Number 18521005
Status Pending
Filing Date 2023-11-28
First Publication Date 2024-06-13
Owner Hon Hai Precision Industry Co., Ltd. (Taiwan, Province of China)
Inventor
  • Chien, Shih-Chao
  • Kuo, Chin-Pin

Abstract

A lane line recognition method applied to an electronic device is provided. In the method, the electronic device obtains a target image comprising lane lines, and converts the target image into an aerial view of the lane lines. Once a left lane line curve and a right lane line curve are obtained by performing a curve fitting on the lane lines according to pixel points of the aerial view, the electronic device determines whether a recognition of the lane lines is accurate according to the left lane line curve and the right lane line curve.

IPC Classes  ?

  • G06V 20/56 - Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
  • G06V 10/776 - Validation; Performance evaluation

4.

METHOD FOR RECOGNIZING HUMAN BODY AREA IN IMAGE, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Application Number 18109541
Status Pending
Filing Date 2023-02-14
First Publication Date 2024-06-13
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lee, Wan-Jhen
  • Kuo, Chin-Pin

Abstract

A method for recognizing human body area in image, an electronic device and a storage medium are provided. In the method, a human body area corresponding to a person in an image is recognized and the human body area is divided into a plurality of target areas according to a height of the human body area and a preset height ratio. A plurality of widths corresponding to the plurality of the target areas are acquired, and a first target width change relationship is determined. When the first target width change relationship does not match a preset standard width change relationship, the human body area is determined to be incomplete. The method can improve an accuracy of a human body area in an image recognition.

IPC Classes  ?

  • G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
  • G06T 7/62 - Analysis of geometric attributes of area, perimeter, diameter or volume
  • G06V 10/26 - Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
  • G06V 10/77 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
  • G06V 10/776 - Validation; Performance evaluation

5.

ELECTRONIC DEVICE AND MESSAGE TRANSMISSION METHOD FOR V2X SYSTEM

      
Application Number 18156416
Status Pending
Filing Date 2023-01-19
First Publication Date 2024-06-13
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Chang, Ke-Ping

Abstract

An electronic device, applicable to a V2X system is disclosed. The electronic device includes a wireless transceiver and a processor. The wireless transceiver is configured to receive a first collective perception message from another device of the V2X system. The processor is coupled to the wireless transceiver, and the processor is configured to operate the following operations: determining whether to generate a second collective perception message according to the first collective perception message according to a first angle of the electronic device and a second angle of another device of the first collective perception message; and sending the second collective perception message to several surrounding devices surrounding the electronic device through the wireless transceiver.

IPC Classes  ?

  • H04B 1/3822 - Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving specially adapted for use in vehicles
  • H04W 4/40 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]

6.

METHOD FOR SEGMENTING ROADS IN IMAGES, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Application Number 18122618
Status Pending
Filing Date 2023-03-16
First Publication Date 2024-05-30
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chien, Shih-Chao
  • Kuo, Chin-Pin

Abstract

A method for segmenting roads in images implemented in an electronic device includes obtaining a road image; obtaining a plurality of regions of interest based on the road image; generating a splicing region based on the plurality of regions of interest; and inputting the splicing region into a pre-trained road segmentation model, and obtaining a road segmentation image and a segmentation result in the road segmentation image.

IPC Classes  ?

  • G06T 7/11 - Region-based segmentation
  • G06T 5/20 - Image enhancement or restoration by the use of local operators
  • G06T 7/12 - Edge-based segmentation

7.

CROWDING DEGREE ESTIMATION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM

      
Application Number 18129771
Status Pending
Filing Date 2023-03-31
First Publication Date 2024-05-30
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Zhou, Yu-Kai
  • Kuo, Chin-Pin

Abstract

A crowding degree estimation method applied to an electronic device is provided. In the method, the electronic device determines a remaining carrying space of a carriage according to an image viewed from a top of an interior of the carriage, and determines a recommended remaining number of people that can be carried according to the remaining carrying space, the number of people already in the carriage, and a maximum number of people that can be carried of the carriage. The electronic device determines the crowding degree according to the recommended remaining number of people. The method can determine the crowding degree of each carriage of a public transportation and recommend passengers with less crowded carriages to save passengers' waiting time.

IPC Classes  ?

  • G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
  • G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions

8.

METHOD FOR DETECTING LANE LINES AND ELECTRONIC DEVICE

      
Application Number 18522549
Status Pending
Filing Date 2023-11-29
First Publication Date 2024-05-30
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chien, Shih-Chao
  • Kuo, Chin-Pin

Abstract

A method for detecting lane lines, applied in an electronic device, includes: obtaining road images, and obtaining a splice area by performing an image processing on the road images; inputting the splice area into a preset trained lane line detection model and obtaining lane line detection images; and obtaining transformed images and lane line detection results of the transformed images by performing an image transformation on the lane line detection images. The application is able to improve an accuracy of detecting lane lines.

IPC Classes  ?

  • G06V 20/56 - Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle

9.

METHOD FOR RECOGNIZING ANOMALOUS LANE LINE AND ELECTRONIC DEVICE

      
Application Number 18114929
Status Pending
Filing Date 2023-02-27
First Publication Date 2024-05-30
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lee, Wan-Jhen
  • Kuo, Chin-Pin

Abstract

The present disclosure relates to a field of intelligent driving technology field, and provides a method for recognizing anomalous lane line and an electronic device obtaining lane line recognition results of lane line images. The method includes: determining lane lines in the lane line images according to the lane line recognition results; determining one of the lane lines having a length greater than a first length threshold and having a straight line from the lane lines as the first lane line; masking the first lane line and determining mark points of the first lane; determining marking lines according to the mark points and the first lane line; dividing each of the lane line images according to the marking lines and obtaining a lane spacing area; and determining the lane lines in the lane spacing area of the lane line recognition results as abnormal lane lines.

IPC Classes  ?

  • G06V 20/56 - Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
  • G06T 7/70 - Determining position or orientation of objects or cameras

10.

METHOD OF DETERMINING DEGREE OF CONGESTION OF COMPARTMENT, ELECTRONIC DEVICE AND STORAGE MEDIUM

      
Application Number 18144769
Status Pending
Filing Date 2023-05-08
First Publication Date 2024-05-30
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Zhou, Yu-Kai
  • Kuo, Chin-Pin

Abstract

A method of determining a congestion degree of a compartment applied to an electronic device is provided. The electronic device determines a remaining carrying space of the compartment according to a binarized passenger distribution image of the compartment. A predicted remaining number of passengers that can be carried in the compartment is determined according to the remaining carrying space. The electronic device determines a recommended remaining number of passengers that can be carried in the compartment based on a number of passengers currently in the compartment, the predicted remaining number of passengers, and a maximum number of passengers that can be carried in the compartment. The electronic device can determine the degree of congestion of the compartment according to the recommended remaining number of passengers that can be carried in the compartment and the maximum number of passengers that can be carried in the compartment.

IPC Classes  ?

  • G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
  • G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
  • G06V 10/75 - Image or video pattern matching; Proximity measures in feature spaces using context analysis; Selection of dictionaries
  • G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands

11.

DRIVING ROUTE PLANNING METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM

      
Application Number 18109534
Status Pending
Filing Date 2023-02-14
First Publication Date 2024-05-23
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Yang, Jung-Hao
  • Kuo, Chin-Pin
  • Lu, Chih-Te

Abstract

A driving route planning method applied to an electronic device is provided. The method includes acquiring an image when a vehicle is driving. Target route information is obtained by inputting the image into a target route planning model. Once a first embedding vector of the target route information is extracted, a driving route corresponding to a driving style is obtained by inputting the first embedding vector into a target driving style model.

IPC Classes  ?

12.

Headset

      
Application Number 29824308
Grant Number D1026867
Status In Force
Filing Date 2022-01-24
First Publication Date 2024-05-14
Grant Date 2024-05-14
Owner
  • Fuyun Acoustics Technology (shenzhen) Co., Ltd. (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Xu, Ding-You
  • Liang, Zhao-Hui
  • Ruan, Ying-Jun

13.

SILICON-CARBON COMPOSITE MATERIAL, PREPARATION METHOD THEREOF AND PREPARATION METHOD OF SILICON-CARBON COMPOSITE SLURRY

      
Application Number 18386316
Status Pending
Filing Date 2023-11-02
First Publication Date 2024-05-09
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • SolidEdge Solution Inc. (Taiwan, Province of China)
Inventor
  • Chen, Mao-Sung
  • Lai, Hong-Zheng
  • Chang, Tseng-Lung

Abstract

The present application provides a silicon-carbon composite material. The silicon-carbon composite material comprises a plurality particles. Each of the plurality of particles comprises a silicon nanoparticle; a first carbon layer wrapping a surface of the silicon nanoparticle; a second carbon layer wrapping the first carbon layer; and an elastic layer wrapping the second carbon layer. The silicon nanoparticle comprises a silicon matrix and at least one doping element located in the silicon matrix. Methods for preparing the silicon-carbon composite material and for preparing a silicon-carbon composite slurry are further provided.

IPC Classes  ?

  • H01M 4/62 - Selection of inactive substances as ingredients for active masses, e.g. binders, fillers
  • H01M 4/36 - Selection of substances as active materials, active masses, active liquids
  • H01M 4/38 - Selection of substances as active materials, active masses, active liquids of elements or alloys
  • H01M 4/587 - Carbonaceous material, e.g. graphite-intercalation compounds or CFx for inserting or intercalating light metals

14.

INDEPENDENT GRAPHICS CARD SYSTEM, COMPUTER HOST AND COMPUTER

      
Application Number 18381321
Status Pending
Filing Date 2023-10-18
First Publication Date 2024-05-02
Owner
  • HONGFUJIN PRECISION INDUSTRY (WUHAN) CO., LTD. (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lee, Sung-Hsien
  • Wu, Wen-Ke
  • Wei, Zhi-Feng
  • Zeng, Biao

Abstract

An independent graphics card system comprises an expansion motherboard, a system power supply, at least one expansion graphics card and a fan assembly. The system power supply is electrically connected to the expansion motherboard. The at least one expansion graphics card is plugged into the expansion motherboard through an adapter card. The at least one expansion graphics card is parallel with the expansion motherboard. The fan assembly dissipates heat of the at least one expansion graphics card.

IPC Classes  ?

  • G06F 1/18 - Packaging or power distribution
  • G06F 1/20 - Cooling means
  • H05K 7/14 - Mounting supporting structure in casing or on frame or rack
  • H05K 7/20 - Modifications to facilitate cooling, ventilating, or heating

15.

IMAGE RECOGNITION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM

      
Application Number 18108779
Status Pending
Filing Date 2023-02-13
First Publication Date 2024-05-02
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Yen, Chien-Wu

Abstract

An image recognition method applied to an electronic device is provided. The method includes obtaining a recognition region and a plurality of test regions. A plurality of first prediction results is obtained by predicting each of the plurality of test regions using a first recognition model. A prediction accuracy rate is calculated. A plurality of target regions is obtained from the plurality of test regions, and a second recognition model is obtained by adjusting the first recognition model based on the prediction accuracy rate and the plurality of target regions. An initial feature matrix is obtained by inputting the recognition region in the second recognition model. A target vector is generated according to a target feature matrix and an initial weight matrix; and a recognition result of the image to be recognized is obtained by inputting the target vector into the second recognition model.

IPC Classes  ?

  • G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
  • G06T 7/10 - Segmentation; Edge detection
  • G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components

16.

IMAGE CLASSIFICATION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM

      
Application Number 18108780
Status Pending
Filing Date 2023-02-13
First Publication Date 2024-05-02
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Yen, Chien-Wu

Abstract

An image classification method applied to an electronic device is provided. The method includes obtaining prediction results of a plurality of test images. A plurality of target images is determined according to the prediction results, and a prediction accuracy rate of a first classification model is calculated based on the plurality of target images. A second classification model is obtained according to the plurality of target images. An initial feature matrix is obtained using the second classification model. An input feature matrix is obtained by performing a dimension raising process on an initial feature matrix. Once a target weight matrix is obtained based on an initial weight matrix, and a target vector is generated according to the target weight matrix and the input feature matrix, a classification result of an image to be classified is obtained by inputting the target vector into a classification layer.

IPC Classes  ?

  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
  • G06V 10/75 - Image or video pattern matching; Proximity measures in feature spaces using context analysis; Selection of dictionaries
  • G06V 10/762 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

17.

ELECTROSTATIC ELIMINATING DEVICE AND VEHICLE

      
Application Number 18138107
Status Pending
Filing Date 2023-04-23
First Publication Date 2024-05-02
Owner
  • Futaijing Precision Electronics (Yantai) Co., Ltd. (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Huang, Yu-Lun

Abstract

An electrostatic eliminating device comprises an electrostatic input terminal, an electrostatic absorption circuit, an electrostatic output terminal. The electrostatic absorption circuit is configured to absorb static electricity accessed to the input end of the electrostatic absorption circuit. The electrostatic input terminal is connected with the door handle, and the electrostatic output terminal is connected with the door handle or the human body to form a circuit, so that the electrostatic ab sorption circuit can absorb the incoming electrostatic charges to avoid the concentration of electrostatic charges on the door handle, which may cause the user to feel electric shock when touching the door handle.

IPC Classes  ?

  • B60R 16/06 - Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric for carrying-off electrostatic charges

18.

METHOD FOR DETECTING WORKPIECE BASED ON HOMOGENEOUS MULTI-CORE ARCHITECTURE AND EDGE COMPUTING DEVICE

      
Application Number 18114111
Status Pending
Filing Date 2023-02-24
First Publication Date 2024-05-02
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Wang, Cheng-Feng
  • Lin, Li-Che
  • Lin, Yen-Yi

Abstract

A method for detecting workpiece based on homogeneous multi-core architecture is illustrate. The method comprises: obtaining detecting images of detecting workpieces; identifying detecting areas of the detecting workpieces in the detecting images; dividing the preset rotation angle to obtain the rotation accuracy and initial rotation angles; based on each of the initial rotation angles, rotating the detecting areas to obtain a rotation area of each of the initial rotation angles; calculating similarity values between each of the rotation areas and a preset qualified area, and determining a largest similarity value as the target similarity value; and when the rotation accuracy is greater than or equal to a preset accuracy, identifying whether the detecting workpiece is a qualified workpiece according to the target similarity value and a preset similarity threshold.

IPC Classes  ?

  • G05B 19/402 - Numerical control (NC), i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by control arrangements for positioning, e.g. centring a tool relative to a hole in the workpiece, additional detection means to correct position

19.

METHOD FOR CLASSIFYING IMAGES AND ELECTRONIC DEVICE

      
Application Number 18108786
Status Pending
Filing Date 2023-02-13
First Publication Date 2024-04-25
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Yen, Chien-Wu

Abstract

A method for identifying images of any kind of object, applied in an electronic device, obtains images to be classified, and obtains classification models and target models. Image segmentation on the images is carried out and target images are obtained; target images are input into each of the input layers and target feature maps are generated; target values according to size of each target feature map are generated; a convolution operation on the target feature maps generates feature values and a target vector of each target model is generated according to average pooling layers, feature values, and target values. The target vector is input into classification layers of a target model and label categories and probability values of categories obtained, enabling classification of images according to the label categories and the probability values of categories.

IPC Classes  ?

  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
  • G06V 10/26 - Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
  • G06V 10/32 - Normalisation of the pattern dimensions
  • G06V 10/77 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
  • G06V 10/774 - Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06V 20/70 - Labelling scene content, e.g. deriving syntactic or semantic representations

20.

PACKAGE STRUCTURE

      
Application Number 18488026
Status Pending
Filing Date 2023-10-16
First Publication Date 2024-04-18
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Peng, Chun-Yen
  • Hong, Kuo-Bin
  • Chen, Shih-Chen
  • Kuo, Hao-Chung

Abstract

A package structure includes a bonding substrate, an integrated circuit, and a heat sink metal. The integrated circuit includes an active region facing the bonding substrate. The heat sink metal is located between the bonding substrate and the active region of the integrated circuit. The heat sink metal is electrically insulated with the integrated circuit.

IPC Classes  ?

  • H01L 23/367 - Cooling facilitated by shape of device
  • H01L 23/00 - SEMICONDUCTOR DEVICES NOT COVERED BY CLASS - Details of semiconductor or other solid state devices

21.

METHOD FOR COLLISION WARNING, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Application Number 18097850
Status Pending
Filing Date 2023-01-17
First Publication Date 2024-04-18
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chien, Yu-Hsuan
  • Kuo, Chin-Pin

Abstract

A method for collision warning implemented in an electronic device includes fusing obtained radar information and image information; recognizing at least one obstacle in a traveling direction of a vehicle according to the fused radar information and image information; determining motion parameters of the at least one obstacle and the vehicle according to the radar information and the image information; and calculating a collision time between the vehicle and the at least one obstacle according to the motion parameters, and issuing a collision warning.

IPC Classes  ?

  • G08G 1/16 - Anti-collision systems
  • G01S 7/40 - Means for monitoring or calibrating
  • G01S 7/41 - RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES - Details of systems according to groups , , of systems according to group using analysis of echo signal for target characterisation; Target signature; Target cross-section
  • G01S 13/86 - Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
  • G01S 13/931 - Radar or analogous systems, specially adapted for specific applications for anti-collision purposes of land vehicles
  • G06T 7/20 - Analysis of motion
  • G06T 7/579 - Depth or shape recovery from multiple images from motion
  • G06T 7/80 - Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
  • G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads

22.

HEAD-MOUNTED DEVICE AND AUGMENTED REALITY DEVICE

      
Application Number 18541162
Status Pending
Filing Date 2023-12-15
First Publication Date 2024-04-11
Owner
  • Fu Tai Hua Industry (Shenzhen) Co., Ltd. (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Tang, Hai-Ping
  • Chien, Cheng-Ching

Abstract

A head-mounted device comprises a main body, a monitor-base, a monitor, and an adjusting component. The main body is mounted on a user's head. The monitor moves with the monitor-base. An eyes-monitor distance is defined between the user's eyes and the monitor. A visual range is defined by a range seen by the user's eyes through the monitor. The adjusting component is configured for pulling or pushing the monitor-base towards the user's eyes to prevent the eyes-monitor distance from increasing and to prevent the visual range from decreasing. When the user wears a pair of glasses between the user's eyes and the monitor, and the glasses block the monitor causing the eyes-monitor distance to be larger than a preset distance, the adjusting component pulls or pushes the monitor-base until the monitor contacts the glasses, to prevent the eyes-monitor distance from increasing. An augmented reality device is also disclosed.

IPC Classes  ?

  • G06F 1/16 - Constructional details or arrangements

23.

GRAPHENE HEATING CHIP AND METHOD FOR MAKING THE SAME

      
Application Number 18129012
Status Pending
Filing Date 2023-03-30
First Publication Date 2024-04-04
Owner
  • Tsinghua University (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Liang, Liang
  • Zhao, Jie
  • Wei, Yang
  • Li, Qun-Qing
  • Fan, Shou-Shan

Abstract

A graphene heating chip includes a substrate, an insulating layer, a graphene film, and a plurality of electrodes. The substrate has two opposite a first surface and a second surface, and the substrate defines a through hole. The insulating layer is suspended on the substrate. The insulating layer covering the through hole and not in direct contact with the first surface is defined as a window, and a plurality of grooves are formed on the window. The graphene film covers the window, and the graphene film includes a first graphene film portion and a second graphene film portion, and the first graphene film portion and the second graphene film portion are spaced apart from each other. The plurality of electrodes are located on the surface of the insulating layer away from the substrate. The present application also provides a method for making the graphene heating chip.

IPC Classes  ?

  • H05B 3/14 - Heating elements characterised by the composition or nature of the materials or by the arrangement of the conductor characterised by the composition or nature of the conductive material the material being non-metallic
  • H05B 3/03 - Electrodes

24.

METHOD FOR CALIBRATING A TEMPERATURE OF A GRAPHENE HEATING CHIP

      
Application Number 18129017
Status Pending
Filing Date 2023-03-30
First Publication Date 2024-04-04
Owner
  • Tsinghua University (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Zhao, Jie
  • Liang, Liang
  • Wei, Yang
  • Li, Qun-Qing
  • Fan, Shou-Shan

Abstract

A graphene heating chip includes a substrate, an insulating layer, a graphene film, and a plurality of electrodes. The substrate has two opposite a first surface and a second surface, and the substrate defines a through hole. The insulating layer is suspended on the substrate. The insulating layer covering the through hole and not in direct contact with the first surface is defined as a window, and a plurality of grooves are formed on the window. The graphene film covers the window, and the graphene film includes a first graphene film portion and a second graphene film portion, and the first graphene film portion and the second graphene film portion are spaced apart from each other. The plurality of electrodes are located on the surface of the insulating layer away from the substrate. The present application also provides a method for calibrating a temperature of the graphene heating chip.

IPC Classes  ?

  • G01K 15/00 - Testing or calibrating of thermometers
  • G01R 27/02 - Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
  • H05B 3/03 - Electrodes
  • H05B 3/14 - Heating elements characterised by the composition or nature of the materials or by the arrangement of the conductor characterised by the composition or nature of the conductive material the material being non-metallic

25.

WIRELESS CHARGING ASSEMBLY WITH MAGNETICALLY-ISOLATED ATTACHMENT STRUCTURE WHEN PROVIDING CHARGE AND ELECTRONIC DEVICE HAVING THE SAME

      
Application Number 18084125
Status Pending
Filing Date 2022-12-19
First Publication Date 2024-03-28
Owner
  • Zhengzhou Wanmayun Electronic Technology CO.,Ltd. (China)
  • HONGFUJIN PRECISION ELECTRONICS (ZHENGZHOU) CO., LTD. (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Yuan, Bo-Duo
  • Cao, Yan-Lei
  • Li, Hao-Xiang

Abstract

A magnetically-isolated wireless charging assembly enabling temporary attachment by magnetism to a device requiring charge by induction includes a housing defining an accommodating space, a plurality of magnetic members disposed within the accommodating space, a wireless charging receiver covering the plurality of magnetic members, and a wireless charging receiver. The wireless charging receiver is disposed on a side of the magnetic shielding member facing the plurality of magnetic members and the magnetic shielding member prevents the magnetic field of the magnetic members extending through or beyond the shielding member.

IPC Classes  ?

  • H02J 50/70 - Circuit arrangements or systems for wireless supply or distribution of electric power involving the reduction of electric, magnetic or electromagnetic leakage fields
  • H01F 27/36 - Electric or magnetic shields or screens
  • H02J 50/00 - Circuit arrangements or systems for wireless supply or distribution of electric power
  • H02J 50/10 - Circuit arrangements or systems for wireless supply or distribution of electric power using inductive coupling

26.

DISTANCE MEASUREMENT METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM

      
Application Number 17988620
Status Pending
Filing Date 2022-11-16
First Publication Date 2024-03-28
Owner
  • Fu Tai Hua Industry (Shenzhen) Co., Ltd. (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Huang, Wen-Hui

Abstract

A distance measurement method is provided and includes: in response to a distance detection instruction, determining a first position where a pupil of a user is located. An included angle between the pupil and an electronic device is determined based on the first position and a second position where the electronic device is located. Once a first distance between the pupil and the electronic device is determined, a second distance between a waveguide sheet in a pair of smart glasses worn by the user and the pupil is calculated according to the included angle and the first distance.

IPC Classes  ?

  • G01S 5/18 - Position-fixing by co-ordinating two or more direction or position-line determinations; Position-fixing by co-ordinating two or more distance determinations using ultrasonic, sonic, or infrasonic waves
  • G02B 27/01 - Head-up displays
  • G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer

27.

SEMICONDUCTOR DEVICE AND MANUFACTURING METHOD THEREOF

      
Application Number 18467746
Status Pending
Filing Date 2023-09-15
First Publication Date 2024-03-21
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • Hon Young Semiconductor Corporation (Taiwan, Province of China)
Inventor
  • Hsiao, Yi-Kai
  • Chiang, Kuang-Hao
  • Kuo, Hao-Chung

Abstract

A semiconductor device includes a substrate, an epitaxial layer, a well region, a source region, a base region, a first JFET region, a second JFET region, a gate dielectric layer and a gate layer. The epitaxial layer is at a side of the substrate. The well region is in the epitaxial layer. The source region is in the well region. The base region is in the well region and adjacent to the source region. The first JFET region is adjacent to the well region. The second JFET region is in the first JFET region. A doping concentration of the second JFET region is higher than a doping concentration of the first JFET region. The gate dielectric layer is at a side of the epitaxial layer away from the substrate. The gate layer is at a side of the gate dielectric layer away from the epitaxial layer.

IPC Classes  ?

  • H01L 29/78 - Field-effect transistors with field effect produced by an insulated gate
  • H01L 29/06 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions
  • H01L 29/10 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions with semiconductor regions connected to an electrode not carrying current to be rectified, amplified, or switched and such electrode being part of a semiconductor device which comprises three or more electrodes
  • H01L 29/66 - Types of semiconductor device

28.

METHOD FOR DETECTING IMAGE SIZES, COMPUTER DEVICE, AND STORAGE MEDIUM

      
Application Number 18210755
Status Pending
Filing Date 2023-06-16
First Publication Date 2024-03-21
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Yen, Chien-Wu

Abstract

A method for detecting image sizes using a computer device is provided. In the method, the computer device obtains a pre-trained image processing model and an input image, establishes a stack according to a number of network layers of the pre-trained image processing model. Output feature maps are obtained by processing the input image using the pre-trained image processing model. Image sizes of the output feature maps are detected. The image sizes are written into the stack in sequence, and the network layers deleted iteratively in an order from large to small according to an execution sequence of the network layers of the pre-trained image processing model until the stack is full. By performing the method, output sizes of the input image can be obtained, and a detection efficiency of image sizes can be improved.

IPC Classes  ?

  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06T 1/60 - Memory management
  • G06V 10/77 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
  • G06V 10/94 - Hardware or software architectures specially adapted for image or video understanding

29.

MACHINE LEARNING METHOD

      
Application Number 18471318
Status Pending
Filing Date 2023-09-21
First Publication Date 2024-03-21
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • Foxconn Technology Group Co., Ltd. (China)
Inventor
  • Liu, Shen-Hsuan
  • Tran, Van Nhiem
  • Yang, Kai-Lin
  • Huang, Chi-En
  • Aslam, Muhammad Saqlain
  • Li, Yung-Hui

Abstract

A machine learning method includes: distinguishing foregrounds and backgrounds of a first image to generate a first mask image; cropping the first image to generate second and third images; cropping the first mask image to generate second and third mask images, wherein a position of the second mask image and a position of the third mask image correspond to a position of the second image and a position of the third image, respectively; generating a first feature vector group of the second image and a second feature vector group of the third image by a model; generating a first matrix according to the first and second feature vector groups; generating a second matrix according to the second and third mask images; generating a function according to the first and second matrices; and adjusting the model according to the function.

IPC Classes  ?

  • G06T 7/194 - Segmentation; Edge detection involving foreground-background segmentation
  • G06T 7/11 - Region-based segmentation

30.

MOUSE DEVICE AND CONTROL METHOD

      
Application Number 18051876
Status Pending
Filing Date 2022-11-01
First Publication Date 2024-03-21
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Chang, Ke-Ping

Abstract

A mouse device is disclosed. The mouse device is coupled to a computer device. The mouse device includes a first button, a second button, and a processor. The processor is configured to generate at least one signal according to a first state of the first button and a second state of the second button at the same time, and the processor is configured to transmit the at least one signal to the computer device, so that the computer device performs one of a copy operation and a cut operation according to the at least one signal.

IPC Classes  ?

  • G06F 3/04812 - Interaction techniques based on cursor appearance or behaviour, e.g. being affected by the presence of displayed objects
  • G06F 3/0354 - Pointing devices displaced or positioned by the user; Accessories therefor with detection of 2D relative movements between the device, or an operating part thereof, and a plane or surface, e.g. 2D mice, trackballs, pens or pucks
  • G06F 3/04842 - Selection of displayed objects or displayed text elements

31.

METHOD OF PREPARING LITHIUM-FRIENDLY COLLOID PAINT, LITHIUM-FRIENDLY COLLOID PAINT AND LITHIUM METAL BATTERY NEGATIVE ELECTRODE

      
Application Number 18243906
Status Pending
Filing Date 2023-09-08
First Publication Date 2024-03-14
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • SolidEdge Solution Inc. (Taiwan, Province of China)
Inventor
  • Chen, Wei-Chao
  • Wang, Pin-Han
  • Lai, Hong-Zheng
  • Chang, Tseng-Lung

Abstract

The present application provides a method of preparing lithium-friendly colloid paint. The method comprises functionalizing a carbon nanotube material to obtain a plurality of carbon nanotubes with functional groups; dispersing the of carbon nanotube material with functional groups in a solution containing nitrogen molecules to from the dispersion liquid to obtain a carbon nanotube precursor; heat-treating the carbon nanotube precursors to obtain a plurality of nitrogen-doped carbon nanotubes; dispersing the plurality of nitrogen-doped carbon nanotubes in an organic solvent, and adding a dispersant obtain a nitrogen-doped carbon nanotube solution precursor; and providing a polymer material colloid and a lithium salt, and uniformly mixing the nitrogen-doped carbon nanotube solution precursor, the lithium salt and the polymer material colloid.

IPC Classes  ?

  • C09D 5/02 - Emulsion paints
  • H01M 4/38 - Selection of substances as active materials, active masses, active liquids of elements or alloys
  • H01M 4/62 - Selection of inactive substances as ingredients for active masses, e.g. binders, fillers

32.

DISPLAY DEVICE AND MANUFACTURING METHOD THEREOF

      
Application Number 18448988
Status Pending
Filing Date 2023-08-14
First Publication Date 2024-03-07
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Hong, Yu-Heng
  • Chen, Shih-Chen
  • Kuo, Hao-Chung

Abstract

A display device includes a first substrate, a plurality of light-emitting diodes, a first wavelength conversion layer and a metasurface. The light-emitting diodes are arranged on the first substrate, in which the light-emitting diodes emit a first color light, and the light-emitting diodes includes a first light-emitting diode, a second light-emitting diode and a third light-emitting diode. The first wavelength conversion layer is on the first light-emitting diode, and configured to convert the first color light emitted from the first light-emitting diode into a second color light, in which the second color light is different from the first color light. The metasurface is above the first wavelength conversion layer, and configured to reflect the first color light and pass the second color light.

IPC Classes  ?

  • H01L 33/50 - Wavelength conversion elements
  • H01L 25/075 - Assemblies consisting of a plurality of individual semiconductor or other solid state devices all the devices being of a type provided for in the same subgroup of groups , or in a single subclass of , , e.g. assemblies of rectifier diodes the devices not having separate containers the devices being of a type provided for in group

33.

BOLOMETER AND MANUFACTURING METHOD OF TEMPERATURE SENSING UNIT

      
Application Number 18461531
Status Pending
Filing Date 2023-09-06
First Publication Date 2024-03-07
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • Hon Young Semiconductor Corporation (Taiwan, Province of China)
Inventor
  • Hong, Kuo-Bin
  • Chuang, Shang-Yu
  • Chiang, Kuang-Hao
  • Kuo, Hao-Chung

Abstract

The present disclosure provides a bolometer including a substrate, a reflecting mirror on the substrate, and a temperature sensing unit above the reflecting mirror. The temperature sensing unit includes a first insulating layer, a thermistor on the first insulating layer, a second insulating layer on the thermistor, an electrode layer in the second insulating layer and right above the thermistor, and a metal meta-surface in the second insulating layer and right above the electrode layer. The electrode layer includes a plurality of electrodes separated from each other. A projection region of the metal meta-surface on the thermistor is equal to or larger than the thermistor.

IPC Classes  ?

  • G01J 5/08 - Optical arrangements
  • G01J 5/02 - Constructional details
  • G01J 5/0813 - Planar mirrors; Parallel phase plates
  • G01J 5/20 - Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors using resistors, thermistors or semiconductors sensitive to radiation, e.g. photoconductive devices

34.

OPTICAL ASSEMBLY AND PROJECTION DEVICES USING THE SAME

      
Application Number 18111731
Status Pending
Filing Date 2023-02-20
First Publication Date 2024-03-07
Owner
  • HONG FU TAI PRECISION ELECTRONS (YANTAI) CO., LTD. (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Huang, Shi-Kai

Abstract

An optical assembly and projection device using the same. The optical assembly configured for converting light defined by a light path. A color wheel includes at least two color circles, the at least two color circles are arranged concentrically and each includes a plurality of color zones. A first drive assembly connect to the color wheel, the first drive assembly is configured for driving the color wheel to rotate, and the plurality of color zones of each of the at least two color circles are illuminated by the light in the light path. A second drive assembly connect to the first drive assembly, the second drive assembly is configured for driving the color wheel in a first direction, and each of the at least two color circles is illuminated a light beam defined by the light path, the first direction intersects with a directional extension of the light path.

IPC Classes  ?

  • H04N 9/31 - Projection devices for colour picture display

35.

SEMICONDUCTOR DEVICE AND MANUFACTURING METHOD THEREOF

      
Application Number 18147006
Status Pending
Filing Date 2022-12-28
First Publication Date 2024-03-07
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • National Yang Ming Chiao Tung University (Taiwan, Province of China)
Inventor
  • Hsu, Wen-Cheng
  • Hong, Yu-Heng
  • Huang, Yao-Wei
  • Hong, Kuo-Bin
  • Kuo, Hao-Chung

Abstract

A semiconductor device includes a first contact layer, a second contact layer, an active layer, a photonic crystal layer, a passivation layer, a first electrode and a second electrode. The first contact layer has a first surface and a second surface opposite to each other. Microstructures are located on the second surface. The second contact layer is located below the first surface. The active layer is located between the first contact layer and the second contact layer. The photonic crystal layer is located between the active layer and the second contact layer. The passivation layer is located on the second contact layer. The first electrode is located on the passivation layer and is electrically connected the first surface of the first contact layer. The second electrode is located on the passivation layer and is electrically connected to the second contact layer.

IPC Classes  ?

36.

GRAPHICS CARD EXPANSION DEVICE AND MOBILE TERMINAL

      
Application Number 18236851
Status Pending
Filing Date 2023-08-22
First Publication Date 2024-02-29
Owner
  • HONGFUJIN PRECISION INDUSTRY (WUHAN) CO., LTD. (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chen, Ching-Jou
  • Hung, Wen-Hsiang
  • Gu, Chun-Bao

Abstract

The present application provides a graphics card expansion device. The graphics card expansion device includes a main chassis and an expansion chassis. The expansion chassis comprises: at least one graphics card storage box, the at least one graphics card storage box is equipped with at least one graphics card; at least one second power source, the at least second power source provides power to at least one graphics card in the at least one graphics card storage box; at least one adapter card, the at least one graphics card storage box communicates with the motherboard in the main box through the at least one adapter card.

IPC Classes  ?

  • G06F 1/18 - Packaging or power distribution

37.

METHOD FOR MONITORING EYE STRAIN, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Application Number 18112994
Status Pending
Filing Date 2023-02-22
First Publication Date 2024-02-29
Owner
  • Fu Tai Hua Industry (Shenzhen) Co., Ltd. (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Li, Jun

Abstract

A method for monitoring eye strain implemented in an electronic device includes obtaining an infrared thermal image of eyes of a target user; analyzing the infrared thermal image of the eyes, and obtaining a temperature value of the eyes; monitoring whether the temperature value of the eyes is greater than a preset threshold of the eye temperature; and in response that the temperature value of the eyes is greater than the preset threshold of the eye temperature, outputting a prompt as to eye strain.

IPC Classes  ?

  • A61B 3/10 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions
  • A61B 5/00 - Measuring for diagnostic purposes ; Identification of persons
  • A61B 5/01 - Measuring temperature of body parts
  • G06T 7/12 - Edge-based segmentation
  • G06T 7/62 - Analysis of geometric attributes of area, perimeter, diameter or volume
  • G06T 7/68 - Analysis of geometric attributes of symmetry
  • G06V 40/18 - Eye characteristics, e.g. of the iris
  • G09G 5/10 - Intensity circuits
  • G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
  • G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

38.

METHOD OF MAKING SOLID OXIDE ELECTROLYTE MEMBRANE

      
Application Number 18133968
Status Pending
Filing Date 2023-04-12
First Publication Date 2024-02-29
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • SolidEdge Solution Inc. (Taiwan, Province of China)
Inventor
  • Lai, Hong-Zheng
  • Kao, Jing-Kai
  • Lin, Cheng-Ting
  • Chang, Tseng-Lung

Abstract

A method of making solid oxidesolid oxide electrolyte membrane comprises steps (S1)-(S5). Step (S1), mixing a high molecular polymer and a first solvent to form a first mixed slurry; and homogenizing the first mixed slurry, to obtain a reagent A. Step (S2), mixing an oxide powder, a dispersant and a second solvent to form a second mixed slurry, treating the second mixed slurry, to obtain a reagent B. Step (S3), adding a protective agent into the reagent B to form a third mixed slurry, and homogenizing the third mixed slurry to obtain a reagent C. Step (S4), mixing the reagent A and the reagent C to form a fourth mixed slurry, and treating the fourth mixed slurry a fifth mixed slurry; and homogenizating the fifth mixed slurry to form a solid electrolyte slurry. And step (S5), producing the solid oxidesolid oxide electrolyte membrane by a coating process.

IPC Classes  ?

39.

LOGIC GATE DEVICE

      
Application Number 18220868
Status Pending
Filing Date 2023-07-12
First Publication Date 2024-02-22
Owner
  • Tsinghua University (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Zhang, Guang-Qi
  • Wei, Yang
  • Fan, Shou-Shan

Abstract

The present application provides a logic gate device. The logic gate device includes a gate electrode, a gate insulating layer, a bottom electrode, a two-dimensional semiconductor layer, a first top electrode and a second electrode. The gate insulating layer is located on the gate electrode. The bottom electrode is located on the gate insulating layer. The two-dimensional semiconductor layer is located on the bottom electrode and simultaneously covers the gate insulating layer. The first top electrode and the second electrode are located on the two-dimensional semiconductor layer. The bottom electrode, the two-dimensional semiconductor layer and the gate insulating layer form an air gap, and the air gap is distributed at both sides of the bottom electrode. The gate electrode is configured to connect a gate voltage, and the first top electrode and the second top electrode are configured to connect a signal input terminal.

IPC Classes  ?

  • H01L 29/68 - Types of semiconductor device controllable by only the electric current supplied, or only the electric potential applied, to an electrode which does not carry the current to be rectified, amplified, or switched
  • H03K 19/08 - Logic circuits, i.e. having at least two inputs acting on one output; Inverting circuits using specified components using semiconductor devices
  • H01L 29/24 - Semiconductor bodies characterised by the materials of which they are formed including, apart from doping materials or other impurities, only inorganic semiconductor materials not provided for in groups , ,  or
  • H01L 29/76 - Unipolar devices

40.

INVERTER

      
Application Number 18220869
Status Pending
Filing Date 2023-07-12
First Publication Date 2024-02-22
Owner
  • Tsinghua University (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Zhang, Guang-Qi
  • Wei, Yang
  • Fan, Shou-Shan

Abstract

The present application provides an inverter. The inverter includes a gate electrode, a gate insulating layer, a bottom electrode, a two-dimensional semiconductor layer, a first top electrode and a second electrode. The gate insulating layer is located on the gate electrode. The bottom electrode is located on the gate insulating layer. The two-dimensional semiconductor layer is located on the bottom electrode and simultaneously covers the gate insulating layer. The first top electrode and the second electrode are located on the two-dimensional semiconductor layer. The bottom electrode, the two-dimensional semiconductor layer and the gate insulating layer form air gaps, and the air gaps are distributed at both sides of the bottom electrode. The gate electrode is configured to connect with a signal input terminal, the bottom electrode is configured to connect with a signal output terminal.

IPC Classes  ?

  • H01L 29/778 - Field-effect transistors with two-dimensional charge carrier gas channel, e.g. HEMT
  • H01L 29/417 - Electrodes characterised by their shape, relative sizes or dispositions carrying the current to be rectified, amplified or switched
  • H01L 29/423 - Electrodes characterised by their shape, relative sizes or dispositions not carrying the current to be rectified, amplified or switched
  • H02M 1/088 - Circuits specially adapted for the generation of control voltages for semiconductor devices incorporated in static converters for the simultaneous control of series or parallel connected semiconductor devices
  • H02M 7/5387 - Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only, e.g. single switched pulse inverters in a bridge configuration

41.

FOURIER TRANSFORM SPECTROMETER APPLICABLE IN AN ARRAY OF COFERENT LIGHT SOURCES

      
Application Number 18231809
Status Pending
Filing Date 2023-08-09
First Publication Date 2024-02-15
Owner
  • Tsinghua University (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lai, Li-Wen
  • Liu, Peng
  • Zhou, Duan-Liang
  • Li, Qun-Qing
  • Fan, Shou-Shan

Abstract

The present invention relates to a Fourier transform spectrometer applicable in an array of coherent light sources, comprising: a light source, a light transmission device, a control circuit, a detector, an amplifying circuit, and a computer. The control circuit is electrically connected to the light transmission device for control the on-off of light in the light transmission device. The amplifying circuit is connected with the detector for recording and amplifying the photoelectric signal obtained by the detector. The computer is connected with the amplifying circuit. The computer is equipped with a spectral analysis software is used to perform Fourier transform. The Fourier transform spectrometer based on the coherent light source array further includes a coherent light source array. The light transmission device is used to transmit the light emitted by the light source to the coherent light source array.

IPC Classes  ?

  • G01N 21/35 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light

42.

MONITORING DEVICE AND WELL COVER ASSEMBLY

      
Application Number 18224624
Status Pending
Filing Date 2023-07-21
First Publication Date 2024-02-08
Owner
  • Zhengzhou Wanmayun Electronic Technology CO.,Ltd. (China)
  • HONGFUJIN PRECISION ELECTRONICS (ZHENGZHOU) CO., LTD. (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Yuan, Bo-Duo

Abstract

A well cover assembly includes a monitoring device and a well cover. The well cover includes a first protrusion and a second protrusion. A through hole is defined on the well cover and surrounded by the second protrusion. The monitoring device can be installed on the well cover. The monitoring device includes a monitoring terminal and a fixing bracket. The fixing bracket includes a first bracket and a second bracket. One end of the first bracket is fixed to the monitoring terminal, and another end can protrude from the through hole. The second bracket is connected to the end of the first bracket protruding from the through hole, the second bracket can extend from the end of the first bracket toward an edge of the second protrusion and toward the first protrusion. The second bracket further can clamp with each of the second protrusion and the first protrusion.

IPC Classes  ?

  • E02D 29/14 - Covers for manholes or the like; Frames for covers

43.

LASER DETECTION SYSTEM AND VEHICLE HAVING SAME

      
Application Number 18229195
Status Pending
Filing Date 2023-08-02
First Publication Date 2024-02-08
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Tseng, Kuo-Fong
  • Yang, Shao-Wei

Abstract

A laser detection system includes a light source module, an optical isolator, a scanner, and a detector. The light source module is configured for emitting a first laser having a first polarization direction. The optical isolator is on an optical path of the first laser configured to emit a second laser by transmitting the first laser from the light source module and prevent the second laser from transmitting toward the light source module. The scanner is on an optical path of the second laser and configured for reflecting the second laser to project a reference light to the target to be tested. The detector is configured to receive detection light reflected by the target to be tested and obtain position information of the target to be tested according to the detection light.

IPC Classes  ?

  • G01S 17/931 - Lidar systems, specially adapted for specific applications for anti-collision purposes of land vehicles
  • G01S 7/481 - Constructional features, e.g. arrangements of optical elements

44.

METHOD FOR TRAINING DEPTH RECOGNITION MODEL, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Application Number 18089021
Status Pending
Filing Date 2022-12-27
First Publication Date 2024-02-08
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chien, Shih-Chao
  • Kuo, Chin-Pin

Abstract

A method for training a depth recognition model implemented in an electronic device includes determining test objects from test images, and obtaining a first image and a second image; calculating a test projection slope of each test object according to coordinates of each pixel point of each test object in the test images; generating a threshold range according to the plurality of test projection slopes; recognizing a type of terrain corresponding to a position of each initial object; adjusting an initial ground area in the first image, and obtaining a target ground area in the first image; generating a target height loss of a preset depth recognition network, an initial depth image corresponding to the first image, and the target ground area; and adjusting the preset depth recognition network according to the target height loss and a depth loss, and obtaining a depth recognition model for recognizing depth of images.

IPC Classes  ?

  • G06T 7/55 - Depth or shape recovery from multiple images
  • G06V 10/774 - Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
  • G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
  • G06T 7/60 - Analysis of geometric attributes

45.

DEEP RECOGNITION MODEL TRAINING METHOD, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

      
Application Number 18094578
Status Pending
Filing Date 2023-01-09
First Publication Date 2024-02-08
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chien, Shih-Chao
  • Kuo, Chin-Pin

Abstract

A deep recognition model training method applied to an electronic device is provided. The method includes obtaining a ground plane area by segmenting a first image using a ground plane segmentation network. A projection image of the first image is generated based on the first image, an initial depth image corresponding to the first image, and a pose matrix. A target height loss of a depth recognition network is generated, and a depth loss of the depth recognition network is obtained according to a gradient loss between the initial depth image and the first image and a photometric loss between the projection image and the first image. A depth recognition model is obtained by adjusting the depth recognition network based on the depth loss and the target height loss.

IPC Classes  ?

  • G06V 10/26 - Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
  • G06V 10/77 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
  • G06V 20/64 - Three-dimensional objects
  • G06V 10/774 - Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects

46.

FIELD EFFECT TRANSISTOR AND METHOD FOR MAKING THE SAME

      
Application Number 18129004
Status Pending
Filing Date 2023-03-30
First Publication Date 2024-02-08
Owner
  • Tsinghua University (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Li, Xuan-Zhang
  • Wei, Yang
  • Fan, Shou-Shan
  • Zhang, Yue-Gang

Abstract

A field effect transistor includes a gate electrode, an insulating layer, a source electrode, a drain electrode, and a channel layer. The insulating layer is located on the surface of the gate electrode, and the channel layer is located on the surface of the insulating layer away from the gate electrode. The source electrode and the drain electrode are spaced apart from each on the surface of the channel layer away from the insulating layer. The source electrode and the drain electrode are one-dimensional structures. The present application further provides a method for making the field effect transistor.

IPC Classes  ?

  • H01L 29/775 - Field-effect transistors with one-dimensional charge carrier gas channel, e.g. quantum wire FET
  • H01L 29/06 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions
  • H01L 29/786 - Thin-film transistors
  • H01L 29/66 - Types of semiconductor device

47.

MICRO LED DISPLAY DEVICE

      
Application Number 18046158
Status Pending
Filing Date 2022-10-13
First Publication Date 2024-02-08
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Miao, Wen-Chien
  • Chiang, Hsin
  • Hsiao, Fu-He
  • Peng, Chun-Yen
  • Chen, Shih-Chen
  • Kuo, Hao-Chung

Abstract

A micro LED display device includes a light emitting layer, a color conversion layer located on a light emitting surface of the light emitting layer, and a Bragg reflection element located on the color conversion layer. The Bragg reflection element includes a plurality of layer pairs. Each of the layer pairs includes at least one first layer and at least one second layer alternately stacked. The layer pairs include a top layer pair, a bottom layer pair and a plurality of middle layer pairs between the top layer pair and the bottom layer pair. A thickness of the first layer of each of the middle layer pairs is smaller than a thickness of the second layer of each of the middle layer pairs. A refractive index of the first layer is greater than a refractive index of the second layer.

IPC Classes  ?

  • H01L 33/60 - Reflective elements
  • H01L 25/075 - Assemblies consisting of a plurality of individual semiconductor or other solid state devices all the devices being of a type provided for in the same subgroup of groups , or in a single subclass of , , e.g. assemblies of rectifier diodes the devices not having separate containers the devices being of a type provided for in group
  • H01L 33/50 - Wavelength conversion elements

48.

FLAME-RETARDANT ELECTROLYTE, PREPARATION METHOD THEREOF, AND LITHIUM ION BATTERY

      
Application Number 18213855
Status Pending
Filing Date 2023-06-25
First Publication Date 2024-02-01
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • SolidEdge Solution Inc. (Taiwan, Province of China)
Inventor
  • Chang, Chih-Ching
  • Lai, Hsiu-Ling
  • Lai, Hong-Zheng
  • Chang, Tseng-Lung

Abstract

The present application provides a flame-retardant electrolyte. The flame-retardant electrolyte includes a specific solvent; a lithium salt; and a fluorinated solvent. The specific solvent is carbonate solvent, ether solvent, succinonitrile, sulfolane, tetraglyme, ionic liquid or a combination thereof. Or, the flame-retardant electrolyte comprises 1-Butyl-1-methylpyrrolidinium bis (trifluoromethylsulfonyl)imide, lithium salt, and carbonate solvent.

IPC Classes  ?

  • H01M 10/0569 - Liquid materials characterised by the solvents
  • H01M 10/0525 - Rocking-chair batteries, i.e. batteries with lithium insertion or intercalation in both electrodes; Lithium-ion batteries
  • H01M 10/0568 - Liquid materials characterised by the solutes

49.

MANUFACTURING METHOD OF SEMICONDUCTOR DEVICE

      
Application Number 18360843
Status Pending
Filing Date 2023-07-28
First Publication Date 2024-02-01
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • Hon Young Semiconductor Corporation (Taiwan, Province of China)
Inventor
  • Hsiao, Yi-Kai
  • Chiang, Kuang-Hao
  • Kuo, Hao-Chung

Abstract

A manufacturing method of a semiconductor device includes the following steps. A base region is formed in a substrate. A protective layer is formed on the substrate and covers the base region. First and second sacrificial layers are formed on the substrate and cover the protective layer. A source region, a well region, and a junction field effect transistor (JFET) region are formed in the substrate. When the source region, the well region, and the JFET region are formed in sequence, the source region and the well region are formed by the first sacrificial layer, and the JFET region is formed by the second sacrificial layer. When the JFET region, the well region, and the source region are formed in sequence, the JFET region is formed by the first sacrificial layer, and the well region and the source region are formed by the second sacrificial layer.

IPC Classes  ?

  • H01L 29/66 - Types of semiconductor device
  • H01L 21/266 - Bombardment with wave or particle radiation with high-energy radiation producing ion implantation using masks
  • H01L 29/78 - Field-effect transistors with field effect produced by an insulated gate
  • H01L 29/10 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions with semiconductor regions connected to an electrode not carrying current to be rectified, amplified, or switched and such electrode being part of a semiconductor device which comprises three or more electrodes

50.

METHOD FOR MEASURING AN INTERFACE RESISTANCE OF A FIELD EFFECT TRANSISTOR

      
Application Number 18129006
Status Pending
Filing Date 2023-03-30
First Publication Date 2024-02-01
Owner
  • Tsinghua University (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Li, Xuan-Zhang
  • Wei, Yang
  • Fan, Shou-Shan
  • Zhang, Yue-Gang

Abstract

A field effect transistor includes a gate electrode, an insulating layer, a source electrode, a drain electrode, and a channel layer. The insulating layer is located on the surface of the gate electrode, and the channel layer is located on the surface of the insulating layer away from the gate electrode. The source electrode and the drain electrode are spaced apart from each on the surface of the channel layer away from the insulating layer. The source electrode and the drain electrode are one-dimensional structures. The present application further provides a method for making the field effect transistor and a method for measuring an interface resistance of the field effect transistor.

IPC Classes  ?

  • G01R 31/26 - Testing of individual semiconductor devices

51.

DEPOSITION MASK, MASK MEMBER FOR DEPOSITION MASK, METHOD OF MANUFACTURING DEPOSITION MASK, AND METHOD OF MANUFACTURING ORGANIC EL DISPLAY APPARATUS

      
Application Number 18380592
Status Pending
Filing Date 2023-10-16
First Publication Date 2024-02-01
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Takei, Hideo
  • Sakio, Susumu
  • Kishimoto, Katsuhiko

Abstract

A mask member for a deposition mask is provided. The deposition mask has a resin film in which a pattern of opening portions is formed. The mask member includes a resin film and a reflective film. The reflective film is on a surface of the resin film. The reflective film is adapted to reflect light having wavelengths of laser light.

IPC Classes  ?

  • B23K 26/362 - Laser etching
  • H10K 71/16 - Deposition of organic active material using physical vapour deposition [PVD], e.g. vacuum deposition or sputtering
  • B23K 26/38 - Removing material by boring or cutting
  • C23C 14/04 - Coating on selected surface areas, e.g. using masks

52.

METHOD FOR REDUCING ERROR OF DEPTH ESTIMATION MODEL, ELECTRONIC DEVICE, AND NON-TRANSITORY STORAGE MEDIUM

      
Application Number 18224620
Status Pending
Filing Date 2023-07-21
First Publication Date 2024-01-25
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Liu, Tsung-Wei
  • Kuo, Chin-Pin

Abstract

A method for reducing the error of depth estimation model comprises: obtaining a plurality of monocular images and a point cloud data of each of the plurality of monocular images, wherein each of the plurality of monocular images comprises an object frame image and a reference frame image; reconstructing the object frame image to obtain a reconstructed frame image according to the reference frame image and a first depth estimation model; determining a reconstructed error between the object frame image and the reconstructed frame image; and obtaining an inertia probability of each pixel of the object frame image according to speed information of the point cloud data and pixel information of the object frame image. This application provides more accurate depth estimation results for dynamic scenes. An electronic device and a non-transitory storage recording the method are also disclosed.

IPC Classes  ?

  • G06T 7/521 - Depth or shape recovery from the projection of structured light
  • G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods

53.

LIGHT-EMITTING DEVICE AND METHOD OF MANUFACTURING THEREOF

      
Application Number 18064936
Status Pending
Filing Date 2022-12-13
First Publication Date 2024-01-25
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • National Yang Ming Chiao Tung University (Taiwan, Province of China)
Inventor
  • Hong, Yu-Heng
  • Tsai, Wei-Cheng
  • Huang, Yao-Wei
  • Chen, Shih-Chen
  • Kuo, Hao-Chung

Abstract

A method of manufacturing a light-emitting device includes a number of operations. A light-emitting element is formed. A simulation of a metasurface is performed. The metasurface is formed based on the simulation of the metasurface. The metasurface is disposed on a light-emitting side of the light-emitting element. Performing the simulation of the metasurface includes establishing a metasurface model of the metasurface, in which the metasurface model has a plurality of unit cells, and phase compensation values of the unit cells are periodically distributed with a supercell period length in a deflection direction. The phase compensation values of the unit cell are adjusted and the light source is set to simulate the multiple transmittances of the metasurface model under different phase compensation values. The phase compensation values at a peak value of transmittance are selected as process parameters of the metasurface.

IPC Classes  ?

  • H01L 33/58 - Optical field-shaping elements
  • H01S 5/183 - Surface-emitting [SE] lasers, e.g. having both horizontal and vertical cavities having only vertical cavities, e.g. vertical cavity surface-emitting lasers [VCSEL]

54.

METHOD FOR DETECTING DEFECT IN IMAGE AND DEVICE FOR DETECTING DEFECT IN IMAGE

      
Application Number 18223570
Status Pending
Filing Date 2023-07-19
First Publication Date 2024-01-25
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lin, Li-Che
  • Lin, Yen-Yi
  • Wang, Cheng-Feng

Abstract

A method for detecting defect in image is provided. The method obtains a number of original images, determines a first reference image from the original images, and performs a histogram matching on the original images excluding the first reference image according to the first reference image, to obtain a plurality of matched images. The method further generates a synthesized image according to pixel intensities of the matched images and pixel intensities of the first reference image; and uses the synthesized image as a second reference image to perform an image comparison with a test image, to generate a result of defect detection. A related device and a related non-transitory storage medium are also provided.

IPC Classes  ?

  • G06V 10/98 - Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
  • G06V 10/75 - Image or video pattern matching; Proximity measures in feature spaces using context analysis; Selection of dictionaries
  • G06V 10/50 - Extraction of image or video features by summing image-intensity values; Projection analysis

55.

IMAGE DEPTH PREDICTION METHOD, ELECTRONIC DEVICE, AND NON-TRANSITORY STORAGE MEDIUM

      
Application Number 18224619
Status Pending
Filing Date 2023-07-21
First Publication Date 2024-01-25
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Liu, Tsung-Wei
  • Kuo, Chin-Pin

Abstract

An image depth prediction method acquires image frames of containing a dynamic object by a monocular camera, extracts a continuous of object frames and reference frames from the image frames, reconstructs the object frames to obtain reconstructed frames according to the reference frames and a preset depth estimation model, obtains a reconstruction error between the object frames and the reconstructed frames, processes the image frames to obtain point cloud data and instance segmentation data, fuses the point cloud data with the instance segmentation data to obtain mask data, obtains a loss function according to the reconstruction error and the mask data, and trains the depth estimation model based on the loss function until the loss function converges. The method can obtain more accurate depth estimation results for dynamic scenes. An electronic device and a non-transitory storage recording the method are also disclosed.

IPC Classes  ?

  • G06T 7/55 - Depth or shape recovery from multiple images
  • G06T 3/00 - Geometric image transformation in the plane of the image

56.

RECOGNITION METHOD AND ELECTRONIC DEVICE

      
Application Number 18349183
Status Pending
Filing Date 2023-07-10
First Publication Date 2024-01-11
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • Foxconn Technology Group Co., Ltd. (China)
Inventor
  • Wang, Jia
  • Ke, Jing-Cheng
  • Cheng, Wen-Huang
  • Shuai, Hong-Han
  • Li, Yung-Hui

Abstract

A recognition method includes the following steps. A text is analyzed by a language recognition network to generate an entity feature, a relation feature and an overall feature. An input image is analyzed by an object detection network to generate candidate regions. Node features, aggregated edge features and compound features are generated by an enhanced cross-modal graph attention network according to the entity feature, the relation feature, the candidate regions and the overall feature. The entity feature and the relation feature are matched to the node features and the aggregated edge features to generate the first scores. The overall feature is matched to the compound features to generate second scores. Final scores corresponding to the candidate regions are generated according to the first scores and the second scores.

IPC Classes  ?

  • G06F 40/295 - Named entity recognition
  • G06V 30/146 - Aligning or centering of the image pick-up or image-field
  • G06V 30/19 - Recognition using electronic means

57.

HORIZONTAL GRINDER ROTOR, GRINDING BEAD DRIVING DEVICE AND HORIZONTAL GRINDER

      
Application Number 18219744
Status Pending
Filing Date 2023-07-10
First Publication Date 2024-01-11
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • SolidEdge Solution Inc. (Taiwan, Province of China)
Inventor
  • Chen, Mao-Sung
  • Chen, Wei-Lun
  • Lai, Hong-Zheng
  • Chang, Tseng-Lung

Abstract

A horizontal grinder rotor includes a grinding ring, multiple blades, and a center body. The grinding ring, the multiple blades and the central body are formed by 3D printing. The multiple blades are located between the grinding ring and the central body, and the multiple blades are arranged at intervals. The multiple blades are arranged in pairs and symmetrical with respect to the central body, and the horizontal grinder rotor further comprises one or more pins, the one or more pins are provided on at least one side of each of the multiple blades.

IPC Classes  ?

58.

METHOD FOR ADJUSTING HEAD-MOUNTED DEVICE AND HEAD-MOUNTED DEVICE

      
Application Number 18371727
Status Pending
Filing Date 2023-09-22
First Publication Date 2024-01-11
Owner
  • Fu Tai Hua Industry (Shenzhen) Co., Ltd. (China)
  • Hon Hai Precision Industry Co., Ltd. (Taiwan, Province of China)
Inventor Huang, Wen-Hui

Abstract

A method for adjusting a head-mounted device comprises: a pupil detecting phase for detecting two pupils of user; a deviation judging phase for judging whether the head-mounted device is worn with or without deviation; a display guiding phase displaying a guiding picture by a first monitor and a second monitor to guide the user to adjust the wearing of the head-mounted device; a pupillary distance detecting phase for measuring the pupillary distance of the user; and an adjusting phase for defining a first range corresponding to the pupillary distance, and adjusting the distance between the first monitor and the second monitor within the first range, so that the first monitor is aligned with one pupil, and the second monitor is aligned with the other pupil, increasing the visual range of the user, thereby improving the user's experience. A head-mounted device using the method is also disclosed.

IPC Classes  ?

  • G02B 27/01 - Head-up displays
  • G02B 27/00 - Optical systems or apparatus not provided for by any of the groups ,

59.

METHOD FOR LOCATION OBJECTS IN ALTERNATIVE REALITY, ELECTRONIC DEVICE, AND NON-TRANSITORY STORAGE MEDIUM

      
Application Number 18071403
Status Pending
Filing Date 2022-11-29
First Publication Date 2024-01-11
Owner
  • HONGFUJIN PRECISION ELECTRONS (YANTAI) CO., LTD. (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Huang, Chun-Hsiang
  • Huang, Po-Hsun

Abstract

An object location method to obtain location information of an object based on positioning light comprises: emitting a first positioning light, to scan a preset region where the object is located to obtain a characteristic value of each of multiple standard regions in the preset region, wherein the preset region comprises multiple standard regions; determining a basic region where the object is located according to the characteristic value of each standard region, wherein each of the standard region comprises multiple basic regions; and emitting a second positioning light to the basic regions where the object is located and to obtain coordinates of the object. An electronic device and a non-transitory storage medium are also provided.

IPC Classes  ?

  • G06T 7/70 - Determining position or orientation of objects or cameras
  • G06V 10/145 - Illumination specially adapted for pattern recognition, e.g. using gratings
  • G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
  • G06V 10/74 - Image or video pattern matching; Proximity measures in feature spaces

60.

SEMICONDUCTOR DEVICE AND MANUFACTURING METHOD THEREOF

      
Application Number 18344896
Status Pending
Filing Date 2023-06-30
First Publication Date 2024-01-04
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • Hon Young Semiconductor Corporation (Taiwan, Province of China)
Inventor
  • Hsiao, Yi-Kai
  • Hsu, Wen-Cheng
  • Chiang, Kuang-Hao
  • Kuo, Hao-Chung

Abstract

A method of forming a semiconductor device includes forming a P-type heavily doped region in a substrate. A sacrificial layer is formed on the substrate and covers the P-type heavily doped region. The sacrificial layer is patterned, so that sidewalls of the sacrificial layer are above the substrate inside the P-type heavily doped region. An N-type heavily doped region adjacent to the P-type heavily doped region is formed in the substrate by using the sacrificial layer as mask. A wet etching process is performed to retract the sidewalls of the sacrificial layer to the substrate inside the N-type heavily doped region. A P-type lightly doped region is formed in the substrate by using the sacrificial layer as mask. The P-type lightly doped region is adjacent to the N-type heavily doped region, and is in contact with bottoms of the P-type heavily doped region and the N-type heavily doped region.

IPC Classes  ?

  • H01L 29/06 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions
  • H01L 29/66 - Types of semiconductor device
  • H01L 29/78 - Field-effect transistors with field effect produced by an insulated gate

61.

IMAGE DEPTH RECOGNITION METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Application Number 18088250
Status Pending
Filing Date 2022-12-23
First Publication Date 2024-01-04
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lee, Chieh
  • Kuo, Chin-Pin

Abstract

An image depth recognition method held in a storage medium and running in a disclosed electronic device acquires images to be recognized and two original images. An original image is recognized through a depth recognition network to obtain an initial depth image, and a pose absolute value matrix is generated based on the two processed original images and a pose network, the pose network and the initial depth image generating an initial projection image. The processed two original images are recognized according to the pose absolute value matrix and the preset threshold matrix and adjusted based on errors between the initial depth image, the target image, and the target projection image. The depth recognition network obtains a depth recognition model, and the depth information of the image can be recognized. The method can improve the accuracy of the depth recognition of the image.

IPC Classes  ?

  • G06T 7/55 - Depth or shape recovery from multiple images
  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
  • G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods

62.

METHOD FOR TRAINING AN IMAGE DEPTH RECOGNITION MODEL, METHOD FOR RECOGNIZING IMAGE DEPTH, AND ELECTRONIC DEVICE

      
Application Number 18125675
Status Pending
Filing Date 2023-03-23
First Publication Date 2024-01-04
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lee, Chieh
  • Kuo, Chin-Pin

Abstract

The present application relates to image processing and provides a method for training an image depth recognition model, a method for recognizing image depth, and an electronic device. The method obtains static objects, dynamic objects, a dynamic position by performing an instance segmentation on the first image and the second image. A target dynamic object and a feature dynamic object are selected from the dynamic objects and the dynamic objects. A target image and a target projection image are generated according to the target dynamic object and the feature dynamic object. A depth recognition model is trained based on the target image, and the target projection image. The to-be-recognized image is recognized by the depth recognition model.

IPC Classes  ?

  • G06T 7/50 - Depth or shape recovery
  • G06T 7/11 - Region-based segmentation
  • G06T 7/70 - Determining position or orientation of objects or cameras
  • G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
  • G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
  • G06V 10/74 - Image or video pattern matching; Proximity measures in feature spaces
  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
  • G06V 10/771 - Feature selection, e.g. selecting representative features from a multi-dimensional feature space

63.

ASSISTANCE METHOD OF SAFE DRIVING AND ELECTRONIC DEVICE

      
Application Number 17896860
Status Pending
Filing Date 2022-08-26
First Publication Date 2023-12-28
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chien, Shih-Chao
  • Kuo, Chin-Pin
  • Lee, Chieh

Abstract

An assistance method of safe driving applied in a vehicle-mounted electronic device obtains RGB images of scene in front of a vehicle, processes the RGB images by a trained depth estimation model, obtains depth images and converts the depth images into three-dimensional (3D) point cloud maps, determines 3D regions of interest therein, and obtains position and size information of objects in the 3D regions of interest. When the position information satisfies a first preset condition and/or the size information satisfies a second preset condition, the presence of obstacles in the 3D regions of interest is determined and controls the vehicle to issue an alarm. When the position information does not satisfy the first preset condition and/or the size information does not satisfy the second preset condition, the 3D regions of interest are determined as obstacle-free, and permitting the vehicle to continue driving.

IPC Classes  ?

  • B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
  • G06T 7/50 - Depth or shape recovery
  • G06T 7/70 - Determining position or orientation of objects or cameras
  • G06T 7/62 - Analysis of geometric attributes of area, perimeter, diameter or volume
  • G06T 17/00 - 3D modelling for computer graphics
  • B60W 30/09 - Taking automatic action to avoid collision, e.g. braking and steering
  • B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention

64.

METHOD FOR DETECTING PRODUCT FOR DEFECTS, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Application Number 17897550
Status Pending
Filing Date 2022-08-29
First Publication Date 2023-12-28
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Sun, Guo-Chin
  • Kuo, Chin-Pin

Abstract

A method for detecting a product for defects implemented in an electronic device includes detecting images of a product for defects by a first defect detection model in a preset period, and obtaining a detection result; when a ratio of the number of negative sample images is greater than a preset threshold, training an autoencoder model; obtaining historical positive sample images of the product, inputting the history positive sample images into the trained autoencoder model, and calculating a latent feature; inputting the latent feature of each history positive sample image into a decoding layer of the trained autoencoder model, and calculating newly added positive sample images; training the first defect detection model and obtain a second defect detection model; and inputting images of a product to be detected to the second defect detection model, and obtaining a detection result of the product.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G06T 7/70 - Determining position or orientation of objects or cameras
  • G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
  • G06F 17/16 - Matrix or vector computation

65.

METHOD FOR OBTAINING DEPTH IMAGES, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Application Number 17897568
Status Pending
Filing Date 2022-08-29
First Publication Date 2023-12-28
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Yang, Jung-Hao
  • Kuo, Chin-Pin
  • Lu, Chih-Te

Abstract

A method for obtaining depth images implemented in an electronic device includes obtaining a first image and a second image; obtaining a predicted depth map of the first image, and calculating a first error value of the predicted depth map; determining a first transformation matrix between the first image and the second image; obtaining an instance segmentation image and obtaining a first mask image and a second mask image; obtaining a target transformation matrix; converting the predicted depth map into a first point cloud image, converting the first point cloud image into a second point cloud image, and converting the second point cloud image into a third image; calculating a second error value between the second image and the third image; obtaining a target deep learning network model; and inputting at least one image into the target deep learning network model, and obtaining at least one depth image.

IPC Classes  ?

  • G06T 7/579 - Depth or shape recovery from multiple images from motion
  • G06T 7/174 - Segmentation; Edge detection involving the use of two or more images
  • G06T 7/70 - Determining position or orientation of objects or cameras

66.

METHOD FOR DETECTING DEFECT OF IMAGES AND ELECTRONIC DEVICE

      
Application Number 18092053
Status Pending
Filing Date 2022-12-30
First Publication Date 2023-12-28
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chien, Shih-Chao
  • Kuo, Chin-Pin

Abstract

A method for detecting defect of images applied in an electronic device inputs flawless sample training images into an autoencoder, and calculates first latent feature by a coding layer of the autoencoder, and calculates first reconstructed images by a decoding layer, and calculates a first reconstruction error by a first preset error function. The electronic device trains the discriminator according to the flawless sample training images and first reconstructed images, and calculates an adversarial learning error, and calculates a sample error, determines an error threshold based on the sample error, and obtains testing sample images, and calculates second latent feature of the testing sample images by the coding layer, and calculates the second reconstructed images of the testing sample images by the decoding layer, and calculate a difference between the testing sample images and the second reconstructed images, thus a detection result of the testing sample images is determined.

IPC Classes  ?

  • G06V 10/98 - Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06N 3/094 - Adversarial learning

67.

METHOD FOR MANAGING DRIVING AND ELECTRONIC DEVICE

      
Application Number 18096480
Status Pending
Filing Date 2023-01-12
First Publication Date 2023-12-28
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lee, Chieh
  • Yang, Jung-Hao
  • Chien, Shih-Chao
  • Kuo, Chin-Pin

Abstract

A method for managing driving applied in an electronic device which assesses distances to objects in a path of autonomous driving obtains RGB images of a scene in front of a vehicle, processes the RGB images based on a trained depth estimation model, and obtain depth images corresponding to the RGB images. The depth images are converted to 3D point cloud maps, 3D regions of interest from the 3D point cloud maps are determined according to a size of the vehicle, and the 3D regions of interest are converted into 2D regions of interest according to internal parameters of a camera. The 2D regions of interest are analyzed for obstacles. Driving continues when the 2D regions of interest have no obstacles, the vehicle is controlled to issue an alarm when obstacles are discovered.

IPC Classes  ?

  • G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
  • G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
  • G06T 7/55 - Depth or shape recovery from multiple images
  • G06T 7/70 - Determining position or orientation of objects or cameras
  • G06V 10/774 - Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06V 10/776 - Validation; Performance evaluation
  • G06V 10/26 - Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
  • G06T 7/11 - Region-based segmentation

68.

METHOD FOR ASSISTING SAFER DRIVING AND ELECTRONIC DEVICE

      
Application Number 18096476
Status Pending
Filing Date 2023-01-12
First Publication Date 2023-12-28
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lu, Chih-Te
  • Lee, Chieh
  • Kuo, Chin-Pin

Abstract

A method for assisting safer riving applied in a vehicle-mounted electronic device obtains RGB images of a scene in front of a vehicle when engine is running, processes the RGB images by a trained depth estimation model, obtains depth images and converts the depth images to three-dimensional (3D) point cloud maps. A curvature of the driving path of the vehicle is calculated, and 3D regions of interest of the vehicle are extracted from the 3D point cloud maps according to a size of the vehicle and the curvature or deviation from straight ahead. The 3D regions of interest are analyzed for presence of obstacles. When no obstacles are present, the vehicle is controlled to continue driving, when presence of at least one obstacle is determined, an alarm is issued.

IPC Classes  ?

  • B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
  • B60W 40/072 - Curvature of the road
  • B60W 40/105 - Speed
  • G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
  • G06V 10/56 - Extraction of image or video features relating to colour
  • G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06T 7/50 - Depth or shape recovery

69.

NEAR-EYE DISPLAY DEVICE, AUGMENTED REALITY DEVICE, AND VIEWING ANGLE ADJUSTMENT METHOD

      
Application Number 18240148
Status Pending
Filing Date 2023-08-30
First Publication Date 2023-12-21
Owner
  • Fu Tai Hua Industry (Shenzhen) Co., Ltd. (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Huang, Jian-Rong

Abstract

A near-eye display device includes a camera module, a display module and a rotating module. The camera module is configured for obtaining an image information along a direction of a first optical axis. The display module is configured for transmitting an image light of virtual information to a human eye along a second optical axis. The rotating module is configured for controlling the rotation of the camera module to change a position of the first optical axis, so as to switch the near-eye display device between a state of close-up view and a state of distant view. In the state of distant view, an angle between the first optical axis and the second optical axis is 25°. In the state of close-up view, the angle between the first optical axis and the second optical axis is less than or equal to 13°.

IPC Classes  ?

  • G02B 27/01 - Head-up displays
  • G02B 27/00 - Optical systems or apparatus not provided for by any of the groups ,

70.

METHOD FOR OPTIMIZING DEPTH ESTIMATION MODEL, COMPUTER DEVICE, AND STORAGE MEDIUM

      
Application Number 17896835
Status Pending
Filing Date 2022-08-26
First Publication Date 2023-12-21
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Liu, Tsung-Wei
  • Kuo, Chin-Pin

Abstract

This application provides a method for optimizing a depth estimation model. The method includes obtaining a video of an object and capturing a first image and a second image from the video. An initial depth estimation model is obtained. An updated depth estimation model is obtained by performing an optimization process on the initial depth estimation model, and the optimization process is repeatedly performed on the updated depth estimation model. Once the updated depth estimation model meets predetermined requirements, the updated depth estimation model meeting predetermined requirements is determined as a target depth estimation model.

IPC Classes  ?

  • G06T 7/55 - Depth or shape recovery from multiple images
  • G06V 10/776 - Validation; Performance evaluation
  • G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
  • G01S 13/86 - Combinations of radar systems with non-radar systems, e.g. sonar, direction finder

71.

METHOD FOR WARNING COLLISION OF VEHICLE, SYSTEM, VEHICLE, AND COMPUTER READABLE STORAGE MEDIUM

      
Application Number 18121572
Status Pending
Filing Date 2023-03-14
First Publication Date 2023-12-21
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lee, Wan-Jhen
  • Kuo, Chin-Pin

Abstract

A method for warning collision of vehicle is provided. The method obtains a pre-detected video. The pre-detected video includes a number of video frames, and the video frames are continuous. The method detects one or more vehicles in each of the video frames and determines a movement state of each of the vehicles via an optical flow method. The method detects one or more lane lines in each of the video frames to determine lane information, and determines whether to provide a collision warning according to the lane information and the movement state of each of the vehicles. A related vehicle and a non-transitory storage medium are provided.

IPC Classes  ?

  • G08G 1/16 - Anti-collision systems
  • G08G 1/056 - Detecting movement of traffic to be counted or controlled with provision for distinguishing direction of travel
  • G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
  • G06V 20/56 - Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
  • G06T 7/215 - Motion-based segmentation
  • G06T 7/194 - Segmentation; Edge detection involving foreground-background segmentation
  • G06T 7/246 - Analysis of motion using feature-based methods, e.g. the tracking of corners or segments

72.

RED MICRO LED DISPLAY PANEL AND SEPARATED PANEL DISPLAY DEVICE HAVING THE SAME

      
Application Number 17817638
Status Pending
Filing Date 2022-08-04
First Publication Date 2023-12-21
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Tseng, Te-En

Abstract

The present disclosure provides a red micro LED display panel applied in a separated panel display device. The red micro LED display panel includes a driving back plane, an electrode array, a UV micro LED, and a red quantum dot layer. The electrode array is located on the driving back plane. The UV micro LED is located on the electrode array. The red quantum dot layer is located on the UV micro LED.

IPC Classes  ?

  • H01L 33/38 - SEMICONDUCTOR DEVICES NOT COVERED BY CLASS - Details thereof characterised by the electrodes with a particular shape
  • H01L 33/10 - SEMICONDUCTOR DEVICES NOT COVERED BY CLASS - Details thereof characterised by the semiconductor bodies with a light reflecting structure, e.g. semiconductor Bragg reflector
  • H01L 33/50 - Wavelength conversion elements
  • H01L 27/15 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including semiconductor components with at least one potential-jump barrier or surface barrier, specially adapted for light emission

73.

SILICON-CARBON PRE-LITHIUM COMPOSITE ANODE MATERIAL AND METHOD FOR MAKING THE SAME AND BATTERY

      
Application Number 18208780
Status Pending
Filing Date 2023-06-12
First Publication Date 2023-12-21
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • SolidEdge Solution Inc. (Taiwan, Province of China)
Inventor
  • Chen, Mao-Sung
  • Chen, Wei-Lun
  • Lai, Hong-Zheng
  • Chang, Tseng-Lung

Abstract

A method of making a silicon-carbon pre-lithium composite anode material is provided. The method includes: nanoizing silicon materials to obtain nano-silicon particles, adding carbon materials and polymer into the nano-silicon particles for homogenization treatment to obtain a silicon-carbon composite; providing a pre-lithium nanomaterial; mixing the silicon-carbon composite and the pre-lithium nanomaterial to granulate to obtain a silicon-carbon pre-lithium composite precursor; and sintering the silicon-carbon pre-lithium composite precursor.

IPC Classes  ?

  • H01M 4/36 - Selection of substances as active materials, active masses, active liquids
  • H01M 4/583 - Carbonaceous material, e.g. graphite-intercalation compounds or CFx
  • H01M 4/38 - Selection of substances as active materials, active masses, active liquids of elements or alloys
  • H01M 4/62 - Selection of inactive substances as ingredients for active masses, e.g. binders, fillers
  • H01M 4/04 - Processes of manufacture in general

74.

METHOD FOR TRAINING DEPTH ESTIMATION MODEL, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

      
Application Number 17892288
Status Pending
Filing Date 2022-08-22
First Publication Date 2023-12-21
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Yang, Jung-Hao
  • Lu, Chih-Te
  • Kuo, Chin-Pin

Abstract

A method for training a depth estimation model is provided. The method includes obtaining a first left image and a first right image. A disparity map is obtained by inputting the first left image into a depth estimation model. A second right image is obtained by adding the first left image to the disparity map. The first left image is converted into a third right image. A mask image is obtained by performing a binarization processing on a pixel value of each of pixel points of the third right image. Once a loss value of the depth estimation model is obtained by calculating a mean square error of pixel values of all corresponding pixel points of the first right image, the second right image, and the mask image, a depth estimation model is iteratively trained according to the loss value.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G06T 7/593 - Depth or shape recovery from multiple images from stereo images

75.

IMAGE INFERENCE METHOD, COMPUTER DEVICE, AND STORAGE MEDIUM

      
Application Number 17854333
Status Pending
Filing Date 2022-06-30
First Publication Date 2023-12-14
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chien, Yung-Ching
  • Wang, Wen-Yin

Abstract

An image inference method is provided by the present disclosure. The method includes determining a target collocation scheme for an image according to an inference request and a preset weight table, the target collocation scheme including a hardware accelerator in an idle state and an estimated time duration of inferring the image. A usage state of the hardware accelerator in the target collocation scheme is updated to be an in use state, and the image is inferred according to the target collocation scheme. When the inferring of the image is completed, the usage state of the hardware accelerator is updated from the in use state to be the idle state. Once an actual time duration of inferring the image is obtained, the estimated time duration is updated to be the actual time duration.

IPC Classes  ?

  • G06N 5/02 - Knowledge representation; Symbolic representation

76.

IMAGE DEFECT DETECTION METHOD, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

      
Application Number 17896663
Status Pending
Filing Date 2022-08-26
First Publication Date 2023-12-14
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lu, Chih-Te
  • Lee, Wan-Jhen
  • Kuo, Chin-Pin

Abstract

An image defect detection method applied to an electronic device is provided. The method includes dividing a detecting image into a plurality of detecting areas, generating a detection accuracy value for each detecting area based on a defective image and a non-defective image, and obtaining a plurality of detection accuracy values. An autoencoder is selected for each detection accuracy value. A model corresponding to each detecting area is obtained by training the autoencoder based on the non-defective image. A plurality of reconstructed image blocks is obtained by inputting each of a plurality of detecting blocks into the corresponding model, and a reconstruction error value between each reconstructed image block and the corresponding detecting block is obtained. A detection result of a product contained in the image to be detected is obtained based on the reconstruction error value corresponding to each detecting block.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G06T 5/50 - Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
  • G06T 7/11 - Region-based segmentation
  • G06V 10/28 - Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
  • G06V 10/74 - Image or video pattern matching; Proximity measures in feature spaces

77.

METHOD OF MAKING LITHIUM-ION BATTERY ANODE

      
Application Number 17973631
Status Pending
Filing Date 2022-10-26
First Publication Date 2023-12-14
Owner
  • Tsinghua University (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Hong, Zi-Xin
  • Fang, Zhen-Han
  • Wang, Jia-Ping
  • Fan, Shou-Shan

Abstract

A method of making lithium-ion battery anode comprising step (S1)-step (S3). step (S1): providing a nano-silicon material, and coating a positively charged carbonizable polymer on a surface of the nano-silicon material, to obtain a nano-silicon coated with the positively charged carbonizable polymer. Step (S2): adding CNTs and the nano-silicon coated with the positively charged carbonizable polymer to a solvent; and performing an ultrasonic dispersion to obtain a dispersion. And step (S3): vacuum filtering the dispersion, to obtain a composite film of the CNTs and the nano-silicon coated with positively charged carbonizable polymer.

IPC Classes  ?

  • H01M 4/38 - Selection of substances as active materials, active masses, active liquids of elements or alloys
  • H01M 4/62 - Selection of inactive substances as ingredients for active masses, e.g. binders, fillers
  • H01M 4/36 - Selection of substances as active materials, active masses, active liquids
  • H01M 4/60 - Selection of substances as active materials, active masses, active liquids of organic compounds
  • H01M 4/04 - Processes of manufacture in general

78.

METHOD FOR TRAINING AUTOENCODER, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Application Number 18072513
Status Pending
Filing Date 2022-11-30
First Publication Date 2023-12-14
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Kuo, Chin-Pin
  • Lu, Chih-Te
  • Lin, Tzu-Chen
  • Yang, Jung-Hao

Abstract

A method for training an autoencoder implemented in an electronic device includes obtaining a stereoscopic image as the vehicle is in motion, the stereoscopic image includes a left image and a right image; generating a stereo disparity map according to the left image; generating a predicted right image according to the left image and the stereo disparity map; and calculating a first mean square error between the predicted right image and the right image.

IPC Classes  ?

  • G06T 7/593 - Depth or shape recovery from multiple images from stereo images

79.

METHOD FOR RECOGNIZING ILLUMINATION STATE OF TRAFFIC LIGHTS, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Application Number 18091126
Status Pending
Filing Date 2022-12-29
First Publication Date 2023-12-14
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chien, Shih-Chao
  • Kuo, Chin-Pin

Abstract

A vehicle-borne method for recognizing the illumination state of traffic lights even against a backlighting of strong sunlight or other light source obtains a first image of a set of traffic lights in a road traffic environment. A segmentation map is acquired by dividing a first region from the first image, and an illumination region in the segmentation map is extracted by marking RGB pixels in the region which are of a preset threshold in brightness according to a training model. A lit color of the set of traffic lights is recognized according to a position of the illumination region in the segmentation map. By utilizing the method, accuracy of recognition of illumination state of traffic lights is improved.

IPC Classes  ?

  • G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
  • G06V 10/26 - Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
  • G06V 10/60 - Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
  • G06V 10/56 - Extraction of image or video features relating to colour
  • G06T 7/70 - Determining position or orientation of objects or cameras
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06T 7/11 - Region-based segmentation

80.

METHOD FOR TRAINING DEPTH ESTIMATION MODEL, TRAINING APPARATUS, AND ELECTRONIC DEVICE APPLYING THE METHOD

      
Application Number 18143534
Status Pending
Filing Date 2023-05-04
First Publication Date 2023-12-14
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Yang, Jung-Hao
  • Kuo, Chin-Pin
  • Lu, Chih-Te

Abstract

A method acquires a first image and a second image of a target object being inputted into the depth estimation network for outputting a depth image. A pixel posture conversion relationship between the first image and the second image is obtained. The pixel posture conversion relationship includes a position relationship between each first pixel in the first image and a second pixel in the second image, which correspond to a same part of the target object. A restored image is generated based on the depth image, the pixel posture conversion relationship, and pre-obtained camera parameters. A loss of the depth estimation network is determined based on a difference between the first image, the depth image, the restored image, and the second image for adjusting the parameters of the depth estimation network. A training apparatus, and an electronic device applying the method are also disclosed.

IPC Classes  ?

  • G06T 7/70 - Determining position or orientation of objects or cameras
  • G06T 7/55 - Depth or shape recovery from multiple images

81.

MULTI-SCALE AUTOENCODER GENERATION METHOD, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

      
Application Number 17896650
Status Pending
Filing Date 2022-08-26
First Publication Date 2023-12-14
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lee, Wan-Jhen
  • Kuo, Chin-Pin

Abstract

A multi-scale autoencoder generation method applied to an electronic device is provided. The method includes acquire product images and acquire an annotation of each product image. Latent spaces of a plurality of scales are constructed. Autoencoders are obtained according to the latent spaces and an image size of the product image. Learners are obtained by training each autoencoder based on non-defective images. Reconstructed images are obtained by inputting the product images into the learners. Detection results are obtained by detecting whether each product image has defects according to the reconstructed images. Similar images for each learner are determined based on a comparison result between each detection result and a corresponding annotation result. Once a correct rate of each learner is obtained according to the similar images, a learner from the plurality of learner is determined as a multi-scale autoencoder according to the correct rate of each learner.

IPC Classes  ?

  • G06T 3/40 - Scaling of a whole image or part thereof
  • H04N 19/60 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
  • H04N 19/33 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using hierarchical techniques, e.g. scalability in the spatial domain

82.

LITHIUM-ION BATTERY ANODE

      
Application Number 17972752
Status Pending
Filing Date 2022-10-25
First Publication Date 2023-12-14
Owner
  • Tsinghua University (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Hong, Zi-Xin
  • Fang, Zhen-Han
  • Wang, Jia-Ping
  • Fan, Shou-Shan

Abstract

A lithium-ion battery anode is provided. The lithium-ion battery anode comprises a carbon nanotube three-dimensional network structure formed by a plurality of carbon nanotubes intertwined with each other. A plurality of nano-silicon particles coated with amorphous carbon, dispersed in the carbon nanotube three-dimensional network structure, and adhered to surfaces of the plurality of carbon nanotubes. The amorphous carbon is obtained by calcining a positively charged carbonizable polymer. And a carbon nanotube functional layer located on two opposite surfaces of the carbon nanotube three-dimensional network structure, to make the carbon nanotube three-dimensional network structure located between two carbon nanotube functional layers. The carbon nanotube functional layer comprises at least two super-aligned carbon nanotube films stacked and crossed with each other.

IPC Classes  ?

  • H01M 4/36 - Selection of substances as active materials, active masses, active liquids
  • H01M 4/133 - Electrodes based on carbonaceous material, e.g. graphite-intercalation compounds or CFx
  • H01M 4/134 - Electrodes based on metals, Si or alloys
  • H01M 4/38 - Selection of substances as active materials, active masses, active liquids of elements or alloys
  • H01M 4/587 - Carbonaceous material, e.g. graphite-intercalation compounds or CFx for inserting or intercalating light metals
  • C01B 32/158 - Carbon nanotubes

83.

DEFECT DETECTING APPARATUS AND METHOD

      
Application Number 18330381
Status Pending
Filing Date 2023-06-07
First Publication Date 2023-12-07
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • Foxconn Technology Group Co., Ltd. (China)
Inventor
  • Li, Yung-Hui
  • Yang, Kai-Lin
  • Lin, Yi-Rong

Abstract

A defect detecting apparatus and method are provided. The defect detecting apparatus receives an image to be tested. The defect detecting apparatus detects the image to be tested through a defect detecting model to generate an anomaly score corresponding to the image to be tested, and the defect detecting model is generated based on the training of a generative adversarial network and a plurality of normalized loss functions. The defect detecting apparatus compares the anomaly score with an anomaly score threshold to determine whether the image to be tested is a defective image.

IPC Classes  ?

84.

METHOD FOR OBTAINING DEPTH IMAGES FOR IMPROVED DRIVING SAFETY AND ELECTRONIC DEVICE

      
Application Number 17896852
Status Pending
Filing Date 2022-08-26
First Publication Date 2023-12-07
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lu, Chih-Te
  • Lee, Chieh
  • Kuo, Chin-Pin

Abstract

A method for obtaining depth images for improved driving safety applied in an electronic device processes first and immediately-following second images which have been captured and processes each to obtain two sets of predicted depth maps. The electronic device determines a transformation matrix of a camera between first and second images and converts the first predicted depth maps into first point cloud maps, and second predicted depth maps into second point cloud maps. The first point cloud maps are converted into third point cloud maps, and the second point cloud maps into fourth point cloud maps. First and fourth point cloud maps are matched and first and second error values are calculated, thereby obtaining a target deep learning network model. Images to be detected are input into the target deep learning network model and depth images are obtained.

IPC Classes  ?

  • G06T 7/50 - Depth or shape recovery
  • G06V 10/75 - Image or video pattern matching; Proximity measures in feature spaces using context analysis; Selection of dictionaries
  • G06V 10/98 - Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns

85.

METHOD FOR IDENTIFYING MOVING VEHICLES AND IN-VEHICLE DEVICE

      
Application Number 18095954
Status Pending
Filing Date 2023-01-11
First Publication Date 2023-12-07
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lee, Chieh
  • Kuo, Chin-Pin

Abstract

A method for identifying road vehicles or other objects which are in motion against those which are not moving applied in an in-vehicle device of an assisted vehicle which is being driven shoots a first image of a target vehicle and a second later image of the target vehicle, determines a first mask area of the target vehicle from the first image, and determines a second mask of the target vehicle from the second image based on an instance segmentation algorithm. An Intersection over Union (IoU) is calculated between the first mask area and the second mask area and a determination made as to whether a dynamic class object mask area of the target vehicle according to the IoU should be generated. A dynamic class object mask area of the target vehicle is generated when the target vehicle is found to be a moving vehicle.

IPC Classes  ?

  • G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
  • G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
  • B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention

86.

METHOD OF DETECTING MOVING OBJECTS, DEVICE, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Application Number 18144048
Status Pending
Filing Date 2023-05-05
First Publication Date 2023-12-07
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chien, Yu-Hsuan
  • Kuo, Chin-Pin

Abstract

A method of detecting moving objects is provided. The method obtains point cloud data set of a target scene and an image of the target scene. The method detects one or more stationary object areas from the image. The method records point cloud data, which corresponds to the stationary object areas in the point cloud data set, to be first point cloud data. The method determines a velocity range of the first point cloud data according to the first point cloud data. The method further determines whether one or more moving objects are present in the target scene according to second point cloud data and the velocity range of the first point cloud data. The second point cloud data is the point cloud data of the point cloud data set excluding the first point cloud data. A related electronic device and a non-transitory storage medium are provided.

IPC Classes  ?

  • B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
  • G06T 7/20 - Analysis of motion
  • G06T 7/70 - Determining position or orientation of objects or cameras
  • G06T 1/60 - Memory management
  • G06T 1/20 - Processor architectures; Processor configuration, e.g. pipelining

87.

METHOD FOR TRAINING DEPTH ESTIMATION MODEL, TRAINING APPARATUS, AND ELECTRONIC DEVICE APPLYING THE METHOD

      
Application Number 18205424
Status Pending
Filing Date 2023-06-02
First Publication Date 2023-12-07
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Kuo, Chin-Pin
  • Liu, Tsung-Wei

Abstract

A method for training a depth estimation model comprise acquires a first image and a second image being inputted into the depth estimation model. The depth estimation model outputs a first depth image. A posture conversion relationship between the first image and the second image is extracted by a posture estimation model. A restored image is generated based on the first depth image, the posture conversion relationship, and pre-obtained camera parameters. A similarity between the restored image and the first image is calculated to obtain a two-dimension loss image. A first similarity of pixel points of each weak texture region are determined based on the two-dimension loss image. A ratio of the first similarity for adjusting the parameters of the depth estimation model is decreased and a first loss value is obtained. A training apparatus and an electronic device applying the method are also disclosed.

IPC Classes  ?

  • G06T 7/55 - Depth or shape recovery from multiple images
  • G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
  • G06V 10/74 - Image or video pattern matching; Proximity measures in feature spaces
  • G06V 10/54 - Extraction of image or video features relating to texture

88.

TRAINING METHOD AND ELECTRONIC DEVICE

      
Application Number 18327885
Status Pending
Filing Date 2023-06-01
First Publication Date 2023-12-07
Owner
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
  • Foxconn Technology Group Co., Ltd. (China)
Inventor
  • Li, Yung-Hui
  • Li, Hong-Yu

Abstract

A training method includes following steps. A converted image group is generated by a first generator included in the first stage generative adversarial network (GAN) according to a first input image group. A reconstructed image group is generated by a second generator included in the first stage GAN according to the converted image group. The first stage GAN is updated according the reconstructed image group and the first input image group. A sampling block is added into a first stage trained GAN to form a second stage GAN. Progressively training and growing the second stage GAN network at multiple stages according to a second input image group to a last input image group to generate a last stage trained GAN.

IPC Classes  ?

  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06T 3/40 - Scaling of a whole image or part thereof

89.

METHOD FOR GENERATING DISTORTED IMAGES, AND ELECTRONIC DEVICE

      
Application Number 17896820
Status Pending
Filing Date 2022-08-26
First Publication Date 2023-12-07
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Liu, Tsung-Wei
  • Kuo, Chin-Pin

Abstract

A method for generating distorted images is applied in an electronic device, obtains first pixel coordinates of undistorted images and a first pixel value of the first pixel coordinates, and selects an arbitrary distortion center coordinate. The distance between the coordinate of the distortion center and each first pixel coordinate is calculated, and second pixel coordinates corresponding to the first pixel coordinates are calculated according to distortion coefficient, the first pixel coordinates, and the distance. The first pixel value of each first pixel coordinates is taken as the second pixel value of each second pixel coordinates, and distorted images from undistorted images are generated for training purposes according to the second pixel coordinates and the second pixel values.

IPC Classes  ?

  • G06T 3/00 - Geometric image transformation in the plane of the image
  • G06V 10/774 - Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting

90.

METHOD FOR ESTIMATING DEPTH, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Application Number 17955884
Status Pending
Filing Date 2022-09-29
First Publication Date 2023-12-07
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chien, Yu-Hsuan
  • Kuo, Chin-Pin

Abstract

A method for estimating depth implemented in an electronic device includes obtaining a first image; inputting the first image into a depth estimation model, and obtaining a first depth image; obtaining a depth ratio factor, the depth ratio factor indicating a relationship between a relative depth and a depth of each pixel in the first depth image; and obtaining depth information of the first depth image according to the first depth image and the depth ratio factor.

IPC Classes  ?

  • G06T 7/521 - Depth or shape recovery from the projection of structured light
  • G01S 13/89 - Radar or analogous systems, specially adapted for specific applications for mapping or imaging
  • G01S 13/08 - Systems for measuring distance only
  • G01S 13/86 - Combinations of radar systems with non-radar systems, e.g. sonar, direction finder

91.

METHOD IN IMAGE PROCESSING FOR REMOVAL OF GENERAL DISTORTIONS AND ELECTRONIC DEVICE

      
Application Number 18094496
Status Pending
Filing Date 2023-01-09
First Publication Date 2023-12-07
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Liu, Tsung-Wei
  • Kuo, Chin-Pin

Abstract

A method for processing images to remove distortions of various types without requiring retraining for per-type processing models, applied in an electronic device, establishes a distortion removal model, and inputs distorted images in the distortion removal model. General distortions are removed by the distortion removal model and the restored images are input into a deep learning model for final image processing. The deep learning model of the present disclosure finally corrects distortion in the images so that distortion-free images are obtained.

IPC Classes  ?

  • G06T 5/00 - Image enhancement or restoration

92.

METHOD FOR DETECTION OF THREE-DIMENSIONAL OBJECTS AND ELECTRONIC DEVICE

      
Application Number 17854301
Status Pending
Filing Date 2022-06-30
First Publication Date 2023-11-30
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lu, Chih-Te
  • Lee, Chieh
  • Kuo, Chin-Pin

Abstract

A method for detection of three-dimensional (3D) objects on or around a roadway by machine learning, applied in an electronic device, obtains images of road, inputs the images into a trained object detection model, and determines categories of objects in the images, two-dimensional (2D) bounding boxes of the objects, and parallax (rotation)angles of the objects. The electronic device determines object models and 3D bounding boxes of the object models and determines distance from the camera to the object models according to size of the 2D bounding boxes, image information of the detection images, and focal length of the camera. The positions of the object models in a 3D space can be determined according to the rotation angles, the distance, and the 3D bounding boxes, and the positions of the object models are taken as the position of the objects in the 3D space.

IPC Classes  ?

  • G06V 20/64 - Three-dimensional objects
  • G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
  • G06T 7/70 - Determining position or orientation of objects or cameras

93.

IMAGE RECOGNITION METHOD, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

      
Application Number 17854320
Status Pending
Filing Date 2022-06-30
First Publication Date 2023-11-30
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lee, Chieh
  • Kuo, Chin-Pin

Abstract

An image recognition method applied to an electronic device is provided. The method includes constructing a first semantic segmentation network. In response that an initial labeled result of one of a plurality of initial labeled images does not match a preset labeled result, a target image corresponding to the one of the plurality of initial labeled images and a target labeled result of the target image are obtained. A second semantic segmentation network is obtained by training the first semantic segmentation network based on a plurality of the target images and the target labeled result of each target image, and a labeled result of an image to be recognized is obtained by inputting the image to be recognized into the second semantic segmentation network.

IPC Classes  ?

  • G06V 10/77 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
  • G06V 10/774 - Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
  • G06V 10/26 - Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion

94.

IMAGE FEATURE MATCHING METHOD, COMPUTER DEVICE, AND STORAGE MEDIUM

      
Application Number 17857098
Status Pending
Filing Date 2022-07-04
First Publication Date 2023-11-30
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Lee, Wan-Jhen
  • Kuo, Chin-Pin

Abstract

An image feature matching method is provided by the present disclosure. The method includes determining a first weak texture area of a first image and a second weak texture area of a second image based on an edge detection algorithm. First feature points of the first weak texture area and second feature points of the second weak texture area are extracted. The first feature points and the second feature points are matched by determining a target point for each of the first feature points from the second feature points. Once a position difference value between each first feature point and the corresponding target point is determined, a matching point for each first feature point is determined according to the position difference value between the each first feature point and the corresponding target point.

IPC Classes  ?

  • G06T 7/529 - Depth or shape recovery from texture
  • G06T 7/13 - Edge detection
  • G06T 7/593 - Depth or shape recovery from multiple images from stereo images
  • G06T 7/90 - Determination of colour characteristics

95.

METHOD FOR TRAINING DEPTH ESTIMATION MODEL, METHOD FOR ESTIMATING DEPTH, AND ELECTRONIC DEVICE

      
Application Number 17954535
Status Pending
Filing Date 2022-09-28
First Publication Date 2023-11-30
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chien, Yu-Hsuan
  • Kuo, Chin-Pin

Abstract

A method for training a depth estimation model implemented in an electronic device includes obtaining a first image pair from a training data set; inputting the first left image into the depth estimation model, and obtaining a disparity map; adding the first left image and the disparity map, and obtaining a second right image; calculating a mean square error and cosine similarity of pixel values of all corresponding pixels in the first right image and the second right image; calculating mean values of the mean square error and the cosine similarity, and obtaining a first mean value of the mean square error and a second mean value of the cosine similarity; adding the first mean value and the second mean value, and obtaining a loss value of the depth estimation model; and iteratively training the depth estimation model according to the loss value.

IPC Classes  ?

  • G06T 7/593 - Depth or shape recovery from multiple images from stereo images

96.

METHOD FOR INSPECTING PRODUCT DEFECTS, ELECTRONIC DEVICE, AND STORAGE MEDIUM

      
Application Number 17990571
Status Pending
Filing Date 2022-11-18
First Publication Date 2023-11-30
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Leung, Yin-Chung

Abstract

A method for inspecting product defects implemented in an electronic device includes determining a category of a product, and obtaining golden sample images of the product; selecting at least one inspection tool by a preset application according to the category of the product; creating labeling information of the golden sample image of the product according to the selected inspection tools; and obtaining at least one image of a product to be inspected, and inspecting the at least one image of the product to be inspected according to the labeling information of the golden sample images of the product.

IPC Classes  ?

97.

METHOD FOR GENERATING DEPTH IN IMAGES, ELECTRONIC DEVICE, AND NON-TRANSITORY STORAGE MEDIUM

      
Application Number 18097080
Status Pending
Filing Date 2023-01-13
First Publication Date 2023-11-30
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Yang, Jung-Hao
  • Lu, Chih-Te
  • Kuo, Chin-Pin

Abstract

A method and system for generating depth in monocular images acquires multiple sets of binocular images to build a dataset containing instance segmentation labels as to content; training an work using the dataset with instance segmentation labels to obtain a trained autoencoder network; acquiring monocular image, the monocular image is input into the trained autoencoder network to obtain a first disparity map and the first disparity map is converted to obtain depth image corresponding to the monocular image. The method combines binocular images with instance segmentation images as training data for training an autoencoder network, monocular images can simply be input into the autoencoder network to output the disparity map. Depth estimation for monocular images is achieved by converting the disparity map to a depth image corresponding to the monocular image. An electronic device and a non-transitory storage are also disclosed.

IPC Classes  ?

  • G06T 7/593 - Depth or shape recovery from multiple images from stereo images
  • G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
  • H04N 13/106 - Processing image signals

98.

DETECTION SYSTEM USED IN PRODUCT QUALITY DETECTION

      
Application Number 18120937
Status Pending
Filing Date 2023-03-13
First Publication Date 2023-11-30
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor Chang, Chia-En

Abstract

A detection system determines to-be-test products to be qualified or not. The detection system includes a first detection module, a sensing module, and a control module. The first detection module includes a first photographing apparatus and a first light source. The first light source being a plane light source emits light and illuminates the to-be-tested product while the first photographing apparatus captures an image of the to-be-tested product. The control module controls the first light source to emit light and control the first photographing apparatus to capture the image of the to-be-tested product when receiving the sensing signal generated by the sensing module. The control module further analyzes the captured image for determining the to-be-tested product to be qualified or not.

IPC Classes  ?

  • H04N 23/56 - Cameras or camera modules comprising electronic image sensors; Control thereof provided with illuminating means
  • G06T 7/00 - Image analysis
  • H04N 23/90 - Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
  • G03B 15/05 - Combinations of cameras with electronic flash apparatus; Electronic flash units

99.

METHOD FOR DETECTING ROAD CONDITIONS AND ELECTRONIC DEVICE

      
Application Number 17846232
Status Pending
Filing Date 2022-06-22
First Publication Date 2023-11-30
Owner HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Chien, Shih-Chao
  • Kuo, Chin-Pin

Abstract

A method for detecting road conditions applied in an electronic device obtains images of a scene in front of a vehicle, and inputs the images into a trained semantic segmentation model. The electronic device inputs the images into a backbone network for feature extraction and obtains a plurality of feature maps, inputs the feature maps into the head network, processes the feature maps by a first segmentation network of the head network, and outputs a first recognition result. The electronic device further processes the feature maps by a second segmentation network of the head network, and outputs a second recognition result, and determines whether the vehicle can continue to drive on safely according to the first recognition result and the second recognition result.

IPC Classes  ?

  • G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
  • B60W 40/06 - Road conditions
  • G06K 9/62 - Methods or arrangements for recognition using electronic means

100.

REMOTE COLLABORATION METHOD, REMOTE DEVICE AND STORAGE MEDIUM

      
Application Number 18232850
Status Pending
Filing Date 2023-08-11
First Publication Date 2023-11-30
Owner
  • Fu Tai Hua Industry (Shenzhen) Co., Ltd. (China)
  • HON HAI PRECISION INDUSTRY CO., LTD. (Taiwan, Province of China)
Inventor
  • Tang, Hai-Ping
  • Chien, Cheng-Ching

Abstract

A remote collaboration method applied to a remote device is provided. In the method, the remote device receives a first image transmitted by a wearable device and determines a reference area based on the first image. The remote device further determines a position of a target object relative to the reference area and generates the indication information according to the position of the target object relative to the reference area and transmits the indication information to the wearable device. The method can provide a user with the indication information of the position of the target object in the eyesight through remote collaboration between the remote device and the wearable device, thereby improving the efficiency and accuracy of determining the position of the target object.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • G06T 7/70 - Determining position or orientation of objects or cameras
  • G06F 3/14 - Digital output to display device
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