Abrégé

Aspects of the present invention provide a computer-implemented method of training a machine learning system to identify forms. In embodiment, the method may include: receiving a form as an input image; identifying one or more fields in the input image; for each identified field, identifying one or more sub-regions in the identified field; responsive to identification of the one or more fields, categorizing the one or more fields; identification of relative locations of the one or more fields in the input image; and, responsive to the identification of the relative locations, categorizing the form. Other aspects of the present invention provide a computer-implemented method of using a machine learning system to identify forms, using the just-enumerated method.

Classes IPC  ?

• G06V 30/412 - Analyse de mise en page de documents structurés avec des lignes imprimées ou des zones de saisie, p.ex. de formulaires ou de tableaux d’entreprise
• G06T 7/30 - Détermination des paramètres de transformation pour l'alignement des images, c. à d. recalage des images
• G06V 10/70 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique
• G06V 30/413 - Classification de contenu, p.ex. de textes, de photographies ou de tableaux

Abrégé

A method for management of a visitor workflow includes receiving a video stream from a camera and using a first thread and a second thread. The first thread generates one or more expiring buffers by: processing frames of the video stream; using an object recognition algorithm to detect and track each face in the frames of the video stream and assign a universal unique identifier (UUID) for each face; and maintaining, for each UUID, a corresponding expiring buffer that includes a timer and the frames of the video stream showing the face corresponding to the UUID. The second thread processes a given expiring buffer by: allocating frames of the given expiring buffer to a biometric thread pool comprising a biometric subthread for each algorithm of a biometric algorithm list; executing the biometric thread pool in parallel; and determining a workflow based on the biometric results.

Classes IPC  ?

• G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
• G06T 7/20 - Analyse du mouvement
• G06V 10/96 - Gestion de tâches de reconnaissance d’images ou de vidéos
• G06V 10/98 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos Évaluation de la qualité des motifs acquis
• G06V 20/52 - Activités de surveillance ou de suivi, p.ex. pour la reconnaissance d’objets suspects
• G06V 40/40 - Détection d’usurpation, p.ex. détection d’activité

Abrégé

A neural network-based optical character recognition (OCR) method, system, and apparatus may use context provided by a neural network-based language model (LM) to improve character recognition in images. In embodiments, a fuzzy OCR system receives an input image and uses aggregated classes of visually similar characters to identify a most probable aggregated class of visually similar characters. That aggregated class is used as an input to the LM, which, in embodiments, employs a portion of text, for example a word, a phrase, a sentence, or a paragraph, from the input image to provide sufficient context to identify the correct character from the aggregated class of visually similar characters.

Classes IPC  ?

• G06V 30/19 - Reconnaissance utilisant des moyens électroniques
• G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux

Abrégé

A method, a non-transitory computer readable medium, and a computer system for accessing protected resources. The method includes receiving, by a processor, a request from an OpenID-unaware application for access to a protected resource; authenticating, by the processor, the OpenID-unaware application; establishing, by the processor, an OpenID connection with an OpenID relying party upon authentication of the OpenID-unaware application; and receiving, by the processor, an access token issued by an OpenID identity provider for the OpenID-unaware application for access to the protected resource.

Classes IPC  ?

• H04L 9/40 - Protocoles réseaux de sécurité

Abrégé

A system for measuring planar features includes a 2D camera, a depth camera, and a computer system. The 2D camera captures a 2D image of an object, and the depth camera captures a depth image of the object. The object includes a feature in an object plane. The computer system obtains calibration data that establish a correspondence between the 2D camera, the depth camera, and a calibration plane. The computer system further determines a distance between the 2D camera and the object plane using the depth image and the calibration data, and computes a true measurement of the feature based on the feature captured in the 2D image and the distance.

Classes IPC  ?

• G06T 7/55 - Récupération de la profondeur ou de la forme à partir de plusieurs images
• G06T 7/60 - Analyse des attributs géométriques
• G06T 7/80 - Analyse des images capturées pour déterminer les paramètres de caméra intrinsèques ou extrinsèques, c. à d. étalonnage de caméra

Abrégé

A system, for tracking fingers of a hand, includes: a sensor patch and a processor. The sensor patch includes: a flexible substrate layer; a light emitting layer attached to the flexible substrate layer; and a photodiode disposed between the light emitting layer a surface of the sensor patch that contacts the hand. The light emitting layer is configured to conform to a skin surface of a backside of the hand and to emit a first wavelength of light. The processor is configured to: control emission of the first wavelength of light by the light emitting layer; analyze backscattered light intensities from the skin surface of the backside of the hand that are detected by the photodiode; determine finger pose information based on the backscattered light intensities; and transmit the finger pose information.

Classes IPC  ?

• G06F 3/03 - Dispositions pour convertir sous forme codée la position ou le déplacement d'un élément
• G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur

Abrégé

Systems, methods, apparatuses, and computer program products for detecting and tagging of paragraphs that span columns, pages, or other reading units are provided. For example, a method can include obtaining a set of candidate paragraphs for a document. The method can also include identifying a pair of candidate paragraphs spanning columns from among the set of candidate paragraphs. The method can further include outputting a tagged paragraph corresponding to the pair of candidate paragraphs spanning columns.

Classes IPC  ?

• G06F 40/117 - Mise en forme, c. à d. modification de l’apparence des documents Étiquetage; Annotation ; Désignation de bloc; Choix des attributs

Abrégé

A method, a system, and a non-transitory computer readable program code are disclosed for generating a virtual authenticator for access to relying party applications hosted by a service provider. The method includes receiving, by a processor, authentication information from an authenticator device for a user with a request for access to one or more relying party applications hosted by the service provider; identifying, by the processor, a virtual authenticator profile for the user based on the authentication information received from the authenticator device; and generating, by the processor, an authentication token for the user based on the virtual authenticator profile for the user and in accordance with an authentication method of the service provider.

Classes IPC  ?

• G06F 21/33 - Authentification de l’utilisateur par certificats

Abrégé

A nested closed shapes detection method includes detecting contours of an object in an image and obtaining pixel coordinates and hierarchy information of the contours; grouping, based on the hierarchy information, the contours into groups of sibling contours; for each of the groups, mending adjacent ones of the sibling contours separated by a gap equal to or less than a predetermined number of pixels; fitting a closed shape to each of the mended sibling contours and extending each of the mended sibling contours to mirror the closed shape; and building a hierarchy of nested closed shapes.

Classes IPC  ?

• G06T 7/13 - Détection de bords

Abrégé

Aspects of the present invention provide, in an optical/image character recognition (OICR) system comprising an OICR engine and a machine learning system, a method of training the machine learning system involving generation of degraded data for use in training the machine learning system. Other aspects of the present invention provide, in a similar OICR system, a method of restoring degraded end user data. Other aspects provide the OICR systems which function as described.

Classes IPC  ?

• G06V 30/19 - Reconnaissance utilisant des moyens électroniques
• G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux

Abrégé

A method, a non-transitory computer readable medium, and a multifunction peripheral that includes a method for accessing the multifunction peripheral. The method includes receiving, by a processor, a Fast Identity Online-based (FIDO-based) authentication from a client device via a wireless communication, the FIDO-based authentication configured to provide a user of the client device access to the multifunction peripheral; determining, by the processor, a validity of the FIDO-based authentication from the client device of the user; and granting, by the processor, the user access to the multifunction peripheral when the validity of the FIDO-based authentication from the client device of the user has been validated.

Classes IPC  ?

• H04L 9/32 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
• H04L 9/08 - Répartition de clés
• H04W 4/80 - Services utilisant la communication de courte portée, p.ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie

Abrégé

Aspects of the present invention relate to a machine learning system that is trained to identify forms, performing a method that includes receiving a form as an input image; identifying a field in the input image; identifying boundaries of the field; identifying locations of characters in the field; creating a two-dimensional space containing special characters; replacing the special characters with the characters in the field; identifying one or more keywords in the field based on identification of words and/or location of words; and responsive to an indication that the identifying one or more keywords yielded an incorrect result, updating the machine learning system. In another aspect, the machine learning system is used to identify forms, and can identify whether a form requires registration and, if registration is required, performing the registration.

Classes IPC  ?

• G06V 30/19 - Reconnaissance utilisant des moyens électroniques
• G06V 30/412 - Analyse de mise en page de documents structurés avec des lignes imprimées ou des zones de saisie, p.ex. de formulaires ou de tableaux d’entreprise

Abrégé

A method, a system, and a non-transitory computer readable program code are disclosed for authentication of users for access to web applications. The method includes receiving, by a processor, a user identifier and a biometric identifier for a user with a request to access one or more relying party applications; validating, by the processor, the user identifier and the biometric identifier for the user with the request to access the one or more relying party applications; retrieving, by the processor, an authentication token for the user from an external trusted source; forwarding, by the processor, the authentication token for the user retrieved from the external trusted source to the one or more relying party applications; and receiving, on the processor, authentication from the one or more relying party applications for the user to access the one or relying party applications.

Classes IPC  ?

• G06F 21/32 - Authentification de l’utilisateur par données biométriques, p.ex. empreintes digitales, balayages de l’iris ou empreintes vocales
• H04L 9/32 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système

Abrégé

A method, a system, and a non-transitory computer readable program code are disclosed for offline authentication of users for access to web applications. The method includes requesting, by a processor, access for a user to one or more relying party applications; receiving, by the processor, a redirection request from the one or more relying party applications to retrieve an authentication token for the user from an identity service provider; determining, by the processor, that the identity service provider is not available to provide the authentication token for the user; retrieving, by the processor, the authentication token for the user from a trusted source; forwarding, by the processor, the authentication token for the user retrieved from the trusted source to the one or more relying parties; and receiving, on the processor, authentication from the one or more relying parties for the user to access the one or relying party applications.

Classes IPC  ?

• G06F 21/33 - Authentification de l’utilisateur par certificats

Abrégé

Synthetic disease face image and disease facemask generation can provide training data for supervised learning of a variety of machine learning systems, including neural networks, which serve as detection models to detect disease or disorder affecting part or all of a person's face and/or cranium. Geometric transformations can be applied to facial images to generate the synthetic disease face images and disease facemasks.

Classes IPC  ?

• G06T 3/00 - Transformation géométrique de l'image dans le plan de l'image
• G06T 7/11 - Découpage basé sur les zones

Abrégé

Method and apparatus to identify field labels from filled forms using image processing to compare two or a few copies of the same kind of form, possibly filled out differently. Filled forms are processed to provide text strings, one for each line of text on each filled form. The text strings are converted to vectors. Vectors from different filled forms are compared to identify common words which are indicative of field labels. In an embodiment, a histogram may be generated to show frequency of occurrence of characters and words, the histogram values also being indicative of field labels.

Classes IPC  ?

• G06V 30/412 - Analyse de mise en page de documents structurés avec des lignes imprimées ou des zones de saisie, p.ex. de formulaires ou de tableaux d’entreprise
• G06V 30/18 - Extraction d’éléments ou de caractéristiques de l’image
• G06F 40/189 - Justification automatique

Produits et services

Downloadable computer software for workflow automation, support handling, and ticketing; providing temporary use of non-downloadable augmented reality software for integration with Augmented Reality platform; downloadable computer software for telemetry monitoring; downloadable software for workflow automation, support handling, and ticketing Providing temporary use of non-downloadable cloud-based computer software for workflow automation, support handling, and ticketing; providing temporary use of non-downloadable augmented reality computer software for integration with Augmented Reality platform; providing temporary use of non-downloadable computer software for telemetry monitoring; technical support services, namely, troubleshooting in the nature of diagnosing computer hardware and software problems; technical support ticket handling and management services in connection with computer software; services comprising the integration of artificial intelligence, augmented reality technologies, and remote service platform capabilities into existing software platforms, specifically for enabling use to perform one-click firmware updates of computer hardware and periferals; cloud computing services featuring software for workflow automation, support handling, and ticketing; customer support services involving the integration of remote service platforms to enable one-click firmware updates for networked computer devices

Produits et services

Voice over internet protocol (VOIP) services Training services in the field of best practices for email security, best practices for mobile device security, computer security, data security, internet security, business information security Computer security threat analysis for protecting data; Computer services, namely, remote and on-site management of the information technology (IT) cloud computing systems of others; Computer services, namely, remote management of the information technology (IT) systems of others; Computer technology support services, namely, help desk services; Consulting services in the field of cloud computing; Data security consultancy; Design and development of electronic data security systems; Design of information technology infrastructure for others; Design, deployment and management of wireless computer networks for others; Outsource service provider in the field of information technology consulting relating to installation, maintenance and repair of computer software; Planning, design and management of information technology systems; Technical support services, namely, remote and on-site infrastructure management services for monitoring, administration and management of public and private cloud computing IT and application systems; Technical support services, namely, troubleshooting in the nature of diagnosing computer hardware and software problems

Abrégé

An apparatus for distant detection of ferrous metallic objects includes a plurality of magnetic field sensors and a fingerprint processing system. The plurality of magnetic field sensors each measure an ambient magnetic field. The fingerprint processing system receives, from the plurality of magnetic field sensors, magnetic field data corresponding to the ambient magnetic field. The fingerprint processing system also generates, from the magnetic field data, a magnetic fingerprint image of one or more perturbations of the ambient magnetic field. The plurality of magnetic field sensors is separated from the ferrous metallic objects being detected by a detection distance that is greater than or equal to 0.5 meters.

Classes IPC  ?

• G01V 3/08 - Prospection ou détection électrique ou magnétique; Mesure des caractéristiques du champ magnétique de la terre, p.ex. de la déclinaison ou de la déviation fonctionnant au moyen de champs magnétiques ou électriques produits ou modifiés par les objets ou les structures géologiques, ou par les dispositifs de détection
• G01R 33/09 - Mesure de la direction ou de l'intensité de champs magnétiques ou de flux magnétiques en utilisant des dispositifs galvano-magnétiques des dispositifs magnéto-résistifs
• G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p.ex. des objets vidéo
• G06V 10/774 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p.ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]; Séparation aveugle de source méthodes de Bootstrap, p.ex. "bagging” ou “boosting”
• G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux

Abrégé

A method, a system, and a non-transitory computer readable program code are disclosed for authenticating users. The method includes registering, on a processing device, one or more users in an authentication system, each of the one or more users having at least one corresponding client device; receiving, on the processing device, location data from the at least one corresponding client device; receiving, on the processing device, location data from one or more computer systems; calculating, on the processing device, a distance from the one or more computer systems to the at least one corresponding client device; receiving, by the processing device, an orientation or orientations of the at least one corresponding client device; and sending, by the processing device, a notification to the at least one corresponding client device.

Classes IPC  ?

• H04W 12/64 - Sécurité dépendant du contexte dépendant de la proximité utilisant des zones géorepérées
• H04W 12/06 - Authentification

Abrégé

A method for automated generation of representative icons from images involves obtaining an image, generating an image vector from the image using an encoder deep neural network, generating an icon based on the image vector using a generative adversarial network (GAN), and outputting the icon.

Classes IPC  ?

• G06T 11/00 - Génération d'images bidimensionnelles [2D]
• G06N 3/08 - Méthodes d'apprentissage

Abrégé

A method for visualizing a reference object in an augmented reality (AR) workspace includes: calibrating the AR workspace by mapping a first coordinate space to the AR workspace; projecting an interface with control elements onto the AR workspace; obtaining an image of the AR workspace that includes the interface and the reference object; identifying the reference object in the image using an image recognition algorithm; retrieving a reference file associated with the reference object, where the reference file includes structural information describing one or more layers of the reference object; identifying a first point of interest (POI) on the reference object; generating, based on the structural information of the reference file, a virtual x-ray representation of structures of the reference object; projecting the virtual x-ray representation onto the AR workspace. The virtual x-ray representation includes a rendering of an internal structure of the reference object.

Classes IPC  ?

• G06T 19/00 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie
• G06T 15/08 - Rendu de volume
• G06T 7/80 - Analyse des images capturées pour déterminer les paramètres de caméra intrinsèques ou extrinsèques, c. à d. étalonnage de caméra
• G06T 7/11 - Découpage basé sur les zones

Abrégé

A method for generating training data for hand-printed text recognition includes obtaining a structured document, obtaining a set of hand-printed character images and database metadata from a database, generating a modified document page image, and outputting a training file. The structured document includes a document page image that includes text characters and document metadata that associates each of the text characters to a document character label. The database metadata associates each of the set of hand-printed character images to a database character label. The modified document page image is generated by iteratively processing each of the text characters. The iterative processing includes determining whether an individual text character should be replaced, selecting a replacement hand-printed character image from the set of hand-printed character images, scaling the replacement hand-printed character image, and inserting the replacement hand-printed character image into the modified document page image.

Classes IPC  ?

• G06V 30/414 - Extraction de la structure géométrique, p.ex. arborescence; Découpage en blocs, p.ex. boîtes englobantes pour les éléments graphiques ou textuels
• G06V 30/19 - Reconnaissance utilisant des moyens électroniques
• G06V 30/16 - Prétraitement de l’image
• G06V 30/244 - Division des suites de caractères en groupes avant la reconnaissance; Sélection des dictionnaires utilisant des propriétés graphiques, p.ex. le type d’alphabet ou la police

Abrégé

A method, a non-transitory computer readable medium, and a personal computer for mapping a virtual smart card to a plurality of users. The method includes hosting, on a personal computer, an identity and access management (IAM) client, the IAM client configured to store a master virtual smart card for the plurality of users on the personal computer; authenticating, on the personal computer, a first user of the plurality of users; injecting, by the IAM client on the personal computer, an identity of the first user of the plurality of users and a personal identification number of the virtual smart card into a Kerberos communication application programming interface (API) with an Active Directory (AD), the Active Directory (AD) including the plurality of users; and mapping, on the personal computer, the master virtual smart card to the first user of the plurality of users.

Classes IPC  ?

• G06F 21/33 - Authentification de l’utilisateur par certificats

Abrégé

A method, a non-transitory computer readable medium, and multifunction printer for accessing a resource hosted on one or more cloud servers from a cloud ready application on the multifunction printer are disclosed. The method includes receiving, on the multifunction printer, a redirection request from an authentication server for an authentication token for a pre-authenticated user in response to a request for the resource hosted on the one or more cloud servers from the multifunction printer; sending, from the multifunction printer, the authentication token for the pre-authenticated user to the authentication server in response to the redirection request form the authentication server; receiving, on the multifunction printer, an authentication assertion from the authentication server; sending, by the multifunction printer, the authentication assertion to the one or more cloud servers; and accessing, by the cloud ready application on the multifunction printer, the resource hosted on the one or more cloud servers.

Classes IPC  ?

• G06F 21/41 - Authentification de l’utilisateur par une seule ouverture de session qui donne accès à plusieurs ordinateurs

Produits et services

Computer hardware platforms comprised of surveillance equipment in the nature of computer hardware for IP video surveillance, camera hardware systems for IP video surveillance, electric and electronic video surveillance installations and downloadable computer software platforms for the video surveillance and the analysis of video data featuring artificial intelligence for the real-time detection of weapons and threat analysis, for enabling real-time incident notification of security alerts and facilitating communication to law enforcement and linked public address systems; computer hardware and downloadable software enabling the automated sounding of alarms to allow for rapid response by security teams; downloadable mobile applications for receiving alerts and providing audio or mobile alerts for bystander protection during security incidents; downloadable computer software and hardware for enabling the detection of threats in low-light situations; downloadable computer software and hardware for controlling and securing physical facilities through linked door locks Software as a service (SAAS) services featuring software for real-time detection of security threats, video surveillance and analysis, threat detection, and alert generation; providing temporary use of non-downloadable cloud-based software for video surveillance, analysis, low-light threat detection, and for the automated generation of alarms and rapid communication with security teams; providing online non-downloadable software for use in database management in the field of video surveillance and threat detection

Abrégé

A text correction method and apparatus can take advantage of a greatly reduced number of error-ground truth pairs to train a deep learning model. To generate these error-ground truth pairs, different characters in a ground truth word are replaced with a symbol, not appearing in any ground truth words, to generate error words which are paired with that ground truth word to provide error-ground truth word pairs. This process may be repeated for all ground truth words for which training is to be performed. In embodiments, pairs of characters in a ground truth word may be replaced with a symbol to generate the error words which are paired with that ground truth word to provide error-ground truth word pairs. Again, this process may be repeated for all ground truth words for which training is to be performed.

Classes IPC  ?

• G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
• G06F 18/214 - Génération de motifs d'entraînement; Procédés de Bootstrapping, p.ex. ”bagging” ou ”boosting”
• G06F 40/232 - Correction orthographique, p.ex. vérificateurs d’orthographe ou insertion des voyelles
• G06V 30/12 - Détection ou correction d’erreurs, p.ex. en effectuant une deuxième exploration du motif
• G06V 30/196 - Reconnaissance utilisant des moyens électroniques utilisant des comparaisons successives des signaux d’images avec plusieurs références
• G06V 30/10 - Reconnaissance de caractères

Abrégé

A cloud server is connected to a plurality of edge devices via a network, and includes: a storage that stores a common machine learning (ML) model that is pretrained and used for optimizing image analysis; and a processor that repeatedly executes: distributing the common ML model to each of the edge devices that optimize the image analysis using local data and that modify the common ML model to create a locally optimized ML model, collecting a key parameter of an optimization result, without collecting the locally optimized ML model or accessing the local data, from each of the edge devices, and updating the common ML model stored in the storage by reflecting the key parameter in the common ML model at a predetermined timing to continuously improve the common ML model for more accurate image analysis.

Classes IPC  ?

• G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
• G06N 3/04 - Architecture, p.ex. topologie d'interconnexion
• H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison

Abrégé

A method for extracting text from an input image and generating a document includes: generating an edges mask from the input image; generating an edges image that is derived from the edges mask; identifying, within the edges mask, one or more probable text areas; extracting a first set of text characters by performing a first optical character recognition (OCR) operation on each of one or more probable text portions, of the derived edges image, corresponding to each of the probable text areas; generating a modified image by erasing, from the input image, image characters corresponding to the first set of text characters extracted by the first OCR operation; and generating a document by overlaying the extracted first set of text characters on the modified image.

Classes IPC  ?

• G06V 30/18 - Extraction d’éléments ou de caractéristiques de l’image
• G06F 18/2431 - Classes multiples
• G06T 7/11 - Découpage basé sur les zones
• G06T 7/13 - Détection de bords
• G06T 11/00 - Génération d'images bidimensionnelles [2D]

Abrégé

A method, a non-transitory computer readable medium, and a system are disclosed for processing and scheduling print jobs on a plurality of printers. The method includes: collecting job information on one or more past print jobs; collecting job information on a plurality of print jobs currently being processed, each of the plurality of print jobs being assigned to one or more operators from a plurality of operators; generating a process workflow visualization for the plurality of print jobs currently being processed with a processing mining algorithm based on the job information collected on the one or more past print jobs and the job information collected on the plurality of print jobs currently being processed; and displaying the process workflow visualization for the plurality of print jobs currently being processed.

Classes IPC  ?

• G06F 3/12 - Sortie numérique vers une unité d'impression
• G06N 20/00 - Apprentissage automatique

Abrégé

A text correction engine meets different and changing end user requirements, with the ability to change a desired output by providing sufficient amounts of data, and by finetuning the appropriate text correction engine at the point of origin of the data. It is possible to retain confidentiality of data by retraining the base deep learning model at the base deep learning model's point of origin, to improve the base deep learning model's performance, making the base deep learning model more accurate for different contexts. Separate training of an end user model, leaving the base deep learning model intact, streamlines end user model training, and highlights desirable changes in the base deep learning model for further training or retraining.

Classes IPC  ?

• G06V 30/12 - Détection ou correction d’erreurs, p.ex. en effectuant une deuxième exploration du motif
• G06F 18/20 - Analyse
• G06F 18/214 - Génération de motifs d'entraînement; Procédés de Bootstrapping, p.ex. ”bagging” ou ”boosting”
• G06N 3/045 - Combinaisons de réseaux
• G06V 30/18 - Extraction d’éléments ou de caractéristiques de l’image

Abrégé

A method, a non-transitory computer readable medium, and a mobile device are disclosed for reducing battery consumption of mobiles devices with location settings. The method includes: enabling a location setting on the mobile device, the location setting having an on state and an off state, the on state being a state in which location services are available to applications on the mobile device and the off state being a state in which location services are not available to applications on the mobile device; checking a battery life of the mobile device; and when the battery life of the mobile device is less than or equal to a preset threshold: changing a status of the location setting on the mobile device to the off state when the mobile device is not running an application that is using the location services; or maintaining the location setting in the on state.

Classes IPC  ?

• H04W 52/02 - Dispositions d'économie de puissance
• H04W 52/28 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué selon des paramètres spécifiques utilisant le profil utilisateur, p.ex. la vitesse, la priorité ou l'état du réseau, p.ex. en attente, libre ou absence de transmission
• H04W 12/63 - Sécurité dépendant du contexte dépendant de la proximité
• H04W 12/065 - Authentification continue
• H04W 4/02 - Services utilisant des informations de localisation

Abrégé

A content aware and style aware neural network based data augmentation model generates augmented data sets to train neural network based handwriting recognition models to recognize individuals' handwriting. The augmented data sets may be generated so as to be artificial, and to lack personal or confidential information. The data augmentation model may generate content reference sets of individual characters generated in different fonts, and style reference sets of pluralities of characters of a particular style, for example, an individual's handwriting.

Classes IPC  ?

• G06V 30/00 - Reconnaissance de caractères; Reconnaissance d’encre numérique; Reconnaissance de formes basée sur une image orientée documents
• G06F 18/211 - Sélection du sous-ensemble de caractéristiques le plus significatif
• G06N 3/045 - Combinaisons de réseaux
• G06N 3/08 - Méthodes d'apprentissage
• G06V 30/32 - Encre numérique

Abrégé

A method is disclosed for eliminating potential video echo effect for a collaboration session that utilizes AR environments. During the collaboration session and in the local AR environment, a contact overlap mask is generated that identifies a content overlap region where the projected remote content superimposes over the physical object placed on the local workspace surface. Based on the contact overlap mask, the local AR environment is temporarily modified throughout a short time period when the projected remote content is prevented from superimposing over the physical object within the content overlap region. A local image is generated based on the temporarily modified local AR environment and sent to the remote workstation for sharing in the collaboration session. By excluding any projected remote content from superimposing over the physical object in the local image, a potential video feedback loop is eliminated so as to eliminate any potential video echo effect.

Classes IPC  ?

• G03B 17/54 - APPAREILS OU DISPOSITIONS POUR PRENDRE DES PHOTOGRAPHIES, POUR LES PROJETER OU LES VISIONNER; APPAREILS OU DISPOSITIONS UTILISANT DES TECHNIQUES ANALOGUES UTILISANT D'AUTRES ONDES QUE DES ONDES OPTIQUES; LEURS ACCESSOIRES - Parties constitutives des appareils ou corps d'appareils; Leurs accessoires prévus pour être combinés à d'autres appareils photographiques ou optiques avec projecteur
• H04N 5/272 - Moyens pour insérer une image de premier plan dans une image d'arrière plan, c. à d. incrustation, effet inverse
• H04N 7/14 - Systèmes à deux voies
• H04N 7/15 - Systèmes pour conférences
• G10K 11/178 - Procédés ou dispositifs de protection contre le bruit ou les autres ondes acoustiques ou pour amortir ceux-ci, en général utilisant des effets d'interférence; Masquage du son par régénération électro-acoustique en opposition de phase des ondes acoustiques originales

Abrégé

A method, a non-transitory computer readable medium, and multifunction printer are disclosed for injecting screens into a third-party workflow on a display panel of a multifunction printer. The method includes displaying, on the display panel of the multifunction printer, a first screen from a third-party workflow; detecting, on the multifunction printer, a first authentication attempt from a user; inserting, on the display panel of the multifunction printer, a first screen from an authentication workflow into the third-party workflow upon the detection of the first authentication attempt from the user; sending, from the multifunction printer, authentication data associated with the first authentication attempt to an authentication server; receiving, from the authentication server, an authentication result associated with the first authentication attempt; and displaying, on the display panel of the multifunction printer, a second screen from the third-party workflow following a successful authentication result from the authentication server.

Classes IPC  ?

• H04N 1/00 - Balayage, transmission ou reproduction de documents ou similaires, p.ex. transmission de fac-similés; Leurs détails
• H04N 1/44 - Systèmes à secret

Abrégé

In different kinds of forms with incomplete lines, or with different color cells in lieu of lines, virtually completing or providing the lines enables formation of tables from which keywords and content in the forms may be identified. Where a form may have one or more such tables, as can be the case with forms with irregular formats, multiple tables may be identified, to facilitate identification of keywords and content in each such table. In embodiments, deep learning techniques may be applied. Cost analysis involving minimum distances between keywords and content may be performed, with the cost analysis also facilitating formation of a keyword dictionary and a content dictionary.

Classes IPC  ?

• G06F 16/242 - Formulation des requêtes
• G06F 16/2453 - Optimisation des requêtes
• G06N 3/08 - Méthodes d'apprentissage
• G06F 16/2452 - Traduction des requêtes
• G06F 16/22 - Indexation; Structures de données à cet effet; Structures de stockage
• G06F 16/2458 - Types spéciaux de requêtes, p.ex. requêtes statistiques, requêtes floues ou requêtes distribuées

Abrégé

In some forms containing keywords and content, there may be nested levels of keywords, also referred to as a hierarchy. Content in the forms may be associated with one or more keywords in one or more of the nested levels, or in the hierarchy. Identifying keywords in adjacent cells in a table (with a nested keyword being either to the right of or below another keyword) enables distinguishing between keywords and content in filled forms, and enables correct association of content with respective keywords.

Classes IPC  ?

• G06F 16/242 - Formulation des requêtes
• G06F 16/22 - Indexation; Structures de données à cet effet; Structures de stockage
• G06N 3/08 - Méthodes d'apprentissage
• G06F 16/25 - Systèmes d’intégration ou d’interfaçage impliquant les systèmes de gestion de bases de données

Abrégé

A blank template form generation method and system may employ synthetically generated blank template forms, differing from each other in one or more respects, to train a neural network to recognize relevant differences between otherwise similar forms, including types and locations of keywords and potential locations of values corresponding to the keywords. In an embodiment, filled or partly filled forms as well as blank template forms may be used later in training. Forms are input in pairs to identify differences between the two. Depending on the differences, weights of a neural network may be adjusted. After training, when a form is input into the system, whether the form is filled or blank, a blank template may be generated for future use.

Classes IPC  ?

• G06F 40/00 - Maniement de données en langage naturel
• G06F 40/174 - Remplissage de formulaires; Fusion
• G06F 40/186 - Gabarits
• G06N 3/08 - Méthodes d'apprentissage
• G06F 40/194 - Calcul de la différence entre fichiers
• G06V 30/412 - Analyse de mise en page de documents structurés avec des lignes imprimées ou des zones de saisie, p.ex. de formulaires ou de tableaux d’entreprise

Abrégé

A method to extract static user content on a marker board is disclosed. The method includes generating a sequence of samples from a video stream comprising a series of images of the marker board, generating at least one center of mass (COM) of estimated foreground content of each sample in the sequence of samples, detecting, based on a predetermined criterion, a stabilized change of the at least one COM in the sequence of samples, wherein the stabilized change of the at least one COM identifies, in the sequence of samples, a stable sample with new content, generating, in response to the stabilized change of the at least one COM and from the stable sample with new content, a mask of full foreground content, and extracting, based at least on the mask of full foreground content, a portion of the static user content from the video stream.

Classes IPC  ?

• H04N 5/14 - Circuits de signal d'image pour le domaine des fréquences vidéo
• G06T 7/66 - Analyse des attributs géométriques des moments d'image ou du centre de gravité
• G06T 7/136 - Découpage; Détection de bords impliquant un seuillage
• G06T 7/194 - Découpage; Détection de bords impliquant une segmentation premier plan-arrière-plan
• G06T 7/187 - Découpage; Détection de bords impliquant un étiquetage de composantes connexes
• H04N 7/04 - Systèmes pour la transmission d'un seul signal de télévision, c. à d. l'image et le son transmis sur une seule porteuse
• G06T 7/11 - Découpage basé sur les zones

Abrégé

An optical shutter device includes: a projection shutter disposed in front of a projection device that projects an AR image onto an object surface with a local content; an imaging shutter disposed in front of an image capturing device that captures a local image of the local content; and a controller that electrically drives the projection and imaging shutters and switches the optical shutter device between a projection state and an imaging state. In the projection state, the controller electrically drives: the projection shutter to an open state, and the imaging shutter to a closed state. In the imaging state, the controller electrically drives: the projection shutter to the closed state, and the imaging shutter to the open state.

Classes IPC  ?

• H04N 5/235 - Circuits pour la compensation des variations de la luminance de l'objet
• G09G 3/00 - Dispositions ou circuits de commande présentant un intérêt uniquement pour l'affichage utilisant des moyens de visualisation autres que les tubes à rayons cathodiques

Abrégé

An image processing method includes: generating, from combined connected components (CCs) of a document image, candidate text CCs, candidate background CCs, and candidate natural image CCs where the candidate background CCs are excluded from the combined CCs to generate the candidate natural image CCs with a predetermined criterion dependent on the candidate text CCs; generating a final natural image bounding box by expanding a candidate natural image bounding box of the candidate natural image CCs and including in the expanded candidate natural image bounding box at least one combined CC that intersects the expanded candidate natural image bounding box; and modifying, based on the final natural image bounding box, the document image and displaying the modified document image to a user.

Classes IPC  ?

• G06V 30/413 - Classification de contenu, p.ex. de textes, de photographies ou de tableaux
• G06T 11/20 - Traçage à partir d'éléments de base, p.ex. de lignes ou de cercles

Abrégé

A method to reduce background noise in a document image includes: extracting, from the document image, a connected component corresponding to a background of the document image; generating a histogram of pixel values of the connected component; generating a replacement range using a range pruning algorithm that narrows a range of the histogram by iteratively discarding at least one pixel value and corresponding pixel count of the histogram from at least one side of the histogram; selecting, from the connected component, at least one pixel having a corresponding pixel value within the replacement range; converting the corresponding pixel value of the at least one pixel to a uniform background color; and outputting, subsequent to the converting, the document image.

Classes IPC  ?

• H04N 1/40 - Circuits des signaux d'image
• H04N 1/58 - Amélioration des contours ou des détails; Suppression du bruit ou des erreurs, p.ex. correction de la mauvaise superposition des couleurs
• H04N 1/409 - Amélioration des contours ou des détails; Suppression du bruit ou des erreurs
• G06T 5/40 - Amélioration ou restauration d'image en utilisant des techniques d'histogrammes
• G06T 5/00 - Amélioration ou restauration d'image

Abrégé

g less than or equal to 200 nm and the patterned second electrode layer and the light emitting layer are separated by at most 100 nm.

Classes IPC  ?

• H01L 27/32 - Dispositifs consistant en une pluralité de composants semi-conducteurs ou d'autres composants à l'état solide formés dans ou sur un substrat commun comprenant des composants qui utilisent des matériaux organiques comme partie active, ou qui utilisent comme partie active une combinaison de matériaux organiques et d'autres matériaux avec des composants spécialement adaptés pour l'émission de lumière, p.ex. panneaux d'affichage plats utilisant des diodes émettrices de lumière organiques
• H01L 51/52 - Dispositifs à l'état solide qui utilisent des matériaux organiques comme partie active, ou qui utilisent comme partie active une combinaison de matériaux organiques et d'autres matériaux; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de tels dispositifs ou de leurs parties constitutives spécialement adaptés pour l'émission de lumière, p.ex. diodes émettrices de lumière organiques (OLED) ou dispositifs émetteurs de lumière à base de polymères (PLED) - Détails des dispositifs
• H01L 51/50 - Dispositifs à l'état solide qui utilisent des matériaux organiques comme partie active, ou qui utilisent comme partie active une combinaison de matériaux organiques et d'autres matériaux; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de tels dispositifs ou de leurs parties constitutives spécialement adaptés pour l'émission de lumière, p.ex. diodes émettrices de lumière organiques (OLED) ou dispositifs émetteurs de lumière à base de polymères (PLED)
• H01L 33/38 - DISPOSITIFS À SEMI-CONDUCTEURS NON COUVERTS PAR LA CLASSE - Détails caractérisés par les électrodes ayant une forme particulière
• H01L 33/50 - DISPOSITIFS À SEMI-CONDUCTEURS NON COUVERTS PAR LA CLASSE - Détails caractérisés par les éléments du boîtier des corps semi-conducteurs Éléments de conversion de la longueur d'onde
• H01L 33/40 - Matériaux

Abrégé

A method for processing images in an information sharing and collaboration environment includes: receiving a plurality of graphical contents including a first graphical content from a first source and a second graphical content from a second source different from the first source within the information sharing and collaboration environment and overlapping the first and second graphical contents; determining a probability that the first graphical content was created before the second graphical content; rendering, using a transparency blending formula and based on the probability that the first graphical content was created before the second graphical content, an opacity of an overlapped portion of the first and second graphical contents; and displaying, on a display, the overlapped first and second graphical contents.

Classes IPC  ?

• G09G 5/377 - Dispositions ou circuits de commande de l'affichage communs à l'affichage utilisant des tubes à rayons cathodiques et à l'affichage utilisant d'autres moyens de visualisation caractérisés par l'affichage de dessins graphiques individuels en utilisant une mémoire à mappage binaire - Détails concernant le traitement de dessins graphiques pour mélanger ou superposer plusieurs dessins graphiques
• G09G 5/38 - Dispositions ou circuits de commande de l'affichage communs à l'affichage utilisant des tubes à rayons cathodiques et à l'affichage utilisant d'autres moyens de visualisation caractérisés par l'affichage de dessins graphiques individuels en utilisant une mémoire à mappage binaire avec des moyens pour commander la position de l'affichage
• G06V 10/50 - Extraction de caractéristiques d’images ou de vidéos en utilisant l’addition des valeurs d’intensité d’image; Analyse de projection

Abrégé

A method and system to generate training data for a deep learning model in memory instead of loading pre-generated data from disk storage. A corpus may be stored as lines of text. The lines of text can be manipulated in the memory of a central processing unit (CPU) of a computing system, using asynchronous multi-processing, in parallel with a training process being conducted on the system's graphics processing unit (GPU). With such an approach, for a given line of text, it is possible to take advantage of different fonts and different types of image augmentation without having to put the images in disk storage for subsequent retrieval. Consequently, the same line of text can be used to generate different training images for use in different epochs, providing more variability in training data (no training sample is trained on more than once). A single training corpus may yield many different training data sets. In one aspect, the model being trained is a deep learning model, which may be one of several different types of neural networks. The training enables the deep learning model to perform OCR on line images.

Classes IPC  ?

• G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
• G06K 15/02 - Dispositions pour produire une présentation visuelle permanente des données de sortie utilisant des imprimantes
• G06K 9/34 - Découpage des formes se touchant ou se chevauchant dans la zone image
• G06T 7/11 - Découpage basé sur les zones
• G06T 3/00 - Transformation géométrique de l'image dans le plan de l'image
• G06T 5/00 - Amélioration ou restauration d'image
• G06T 1/20 - Architectures de processeurs; Configuration de processeurs p.ex. configuration en pipeline

Abrégé

2 values in a predetermined range may be grouped into a cohort, and their care plans managed as a group.

Classes IPC  ?

• G16H 20/00 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients
• G16H 20/10 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des médicaments ou des médications, p.ex. pour s’assurer de l’administration correcte aux patients
• G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicales; TIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
• G16H 20/60 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant le contrôle de l’alimentation, p.ex. les régimes
• G16H 20/30 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies ou des activités physiques, p.ex. la physiothérapie, l’acupression ou les exercices

Abrégé

A method and system for temporarily gaining access to a system is disclosed, The method includes: receiving biometric data from a first biometric device of a first user on a computer processor; generating a temporary code on the computer processor in response to receipt of the biometric data from the first biometric device of the first user; sending the temporary code from the computer processor to the first biometric device of the first user; receiving biometric data from a second biometric device of a second user on the first biometric device of the first user; generating an access code on the first biometric device, the access code including one or more of the biometric data of the first user, the temporary code from the computer processor, and the biometric data of the second user; and sending the access code to the biometric device of the second user.

Classes IPC  ?

• G06F 21/32 - Authentification de l’utilisateur par données biométriques, p.ex. empreintes digitales, balayages de l’iris ou empreintes vocales
• H04L 9/32 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
• G06F 21/33 - Authentification de l’utilisateur par certificats
• G06F 21/44 - Authentification de programme ou de dispositif
• G06F 21/40 - Authentification de l’utilisateur sous réserve d’un quorum, c. à d. avec l’intervention nécessaire d’au moins deux responsables de la sécurité

Abrégé

A method and system for securely registering a user in a biometric system. The method includes: receiving, on a computer processor of the biometric system, an identifier of a biometric device and user information; sending, with the computer processor, a request that the biometric device be sent to the user of the biometric device upon the receipt of the identifier of the biometric device and user information; receiving, on the computer processor, the identifier of the biometric device and one or more authenticators from the user; initiating, with the computer processor, a registration of the user based on the receipt of the identifier of the biometric device and the one or more authenticators from the user; and receiving, on the computer processor, biometric data of the user from the biometric device to complete a registration of the user in the biometric system.

Classes IPC  ?

• G06F 21/32 - Authentification de l’utilisateur par données biométriques, p.ex. empreintes digitales, balayages de l’iris ou empreintes vocales
• G06F 21/40 - Authentification de l’utilisateur sous réserve d’un quorum, c. à d. avec l’intervention nécessaire d’au moins deux responsables de la sécurité
• G06F 21/44 - Authentification de programme ou de dispositif
• H04W 4/80 - Services utilisant la communication de courte portée, p.ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
• A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
• G06V 40/50 - Traitement de données biométriques ou leur maintenance
• G01S 19/25 - Acquisition ou poursuite des signaux émis par le système faisant intervenir des données d'assistance reçues en provenance d'un élément coopérant, p.ex. un GPS assisté
• H04W 4/021 - Services concernant des domaines particuliers, p.ex. services de points d’intérêt, services sur place ou géorepères
• G06F 21/62 - Protection de l’accès à des données via une plate-forme, p.ex. par clés ou règles de contrôle de l’accès

Abrégé

An image processing method, for collaborating between a first augmented reality (AR) workspace and a second AR workspace, includes: calibrating the first AR workspace by creating a camera-to-shared space transformation between a camera coordinate space and a shared coordinate space, and a shared space-to-projector transformation between the shared coordinate space and a projector coordinate space; obtaining a remote composite image of a foreground content in the second AR workspace; generating a projector image by applying the shared space-to-projector transformation to the remote composite image; projecting the projector image into the first AR workspace; obtaining an input image of the first AR workspace that includes the projector image and a foreground content of the first AR workspace; generating an output image by applying the camera-to-shared space transformation to the input image; and obtaining a remote mask based on the remote composite image.

Classes IPC  ?

• H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
• G06T 19/00 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie

Abrégé

An authentication server is connected to a client device via a network and includes: an uninterruptible power supply (UPS) that supplies power to the authentication server upon interruption of a main power supply; a storage that stores a database including: a piece of user information of a user of the client device; and a piece of authentication information for the user to log into the client device or a predetermined server on the network via the client device; and a processor that, once the UPS starts to supply the power to the authentication server, transmits to the client device the piece of authentication information corresponding to the piece of user information before the authentication server is shut down.

Classes IPC  ?

• H04L 9/40 - Protocoles réseaux de sécurité
• G06F 1/30 - Moyens pour agir en cas de panne ou d'interruption d'alimentation
• G06F 1/26 - Alimentation en énergie électrique, p.ex. régulation à cet effet
• H04L 67/1001 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau pour accéder à un serveur parmi une pluralité de serveurs répliqués

Abrégé

A testing apparatus for obtaining mechanical properties of a polymer composite extruded from a nozzle of a compounding extruder includes a plurality of pairs of roller units that roll the polymer composite along a first direction. Each of the pairs of roller units includes a first roller unit and a second roller unit disposed such that a center of the first roller unit and a center of the second roller unit are separated by a predetermined distance in a second direction that is perpendicular to the first direction. The pairs of roller units are disposed along the first direction such that the predetermined distance of each of the pairs of roller units increases stepwise along the first direction. The pairs of roller units strain a vulnerable portion of the polymer composite in the second direction. The testing apparatus further includes a sensor that measures stress in the vulnerable portion.

Classes IPC  ?

• B29C 48/92 - Mesure, commande ou régulation

Abrégé

A method, a non-transitory computer readable medium, and a system are disclosed for comparing usage of plural printers. The method includes collecting print information on each of a plurality of printers, the print information including print volume, printer run time, printer print time, printer stop time, and raster image processing time; and displaying, on a graphical user interface, a printer usage dashboard, the printer usage dashboard including a line chart of print volume for the plurality of printers, a bar chart of printer stop time for each of the plurality of printers, and a scatter chart of printer usage for the plurality of printers.

Classes IPC  ?

• G06F 3/12 - Sortie numérique vers une unité d'impression
• G06T 11/20 - Traçage à partir d'éléments de base, p.ex. de lignes ou de cercles

Abrégé

A method, a non-transitory computer readable medium, and a system are disclosed for user registration with mirrored identities to achieve federation without on-premises identities. The method including: forwarding, from a computer processor, a password-based authentication request for a user to an active directory for access to cloud services; receiving, on the computer processor, a cloud authentication from the active directory for the user; piggybacking, on the computer processor, the cloud authentication for the user from the active directory with a FIDO2 registration to an authentication server; requesting, by the computer processor, an application or service from a cloud provider with the cloud authentication for the user from the FIDO2 registration; and receiving, on the computer processor, the application or service from the cloud provider.

Classes IPC  ?

• H04L 9/40 - Protocoles réseaux de sécurité

Abrégé

A method, a non-transitory computer readable medium, and a system are disclosed for a single sign-on for services. The method includes: receiving, on a computer processor, user identification captured by a biometric device of a user; forwarding, by the computer processor, the user identification to an authentication server; receiving, on the computer processor, a user JSON Web Token (user-JWT), user principle name, active directory domain name, and user domain name password, upon authentication of the user by the authentication server; performing, by the computer processor, an active directory join operation with an active directory using the user principle name, the active directory domain name, and the user domain name password; launching, on the computer processor, a browser that communicates with the authentication server; and receiving, on the computer processor, an HTML page constructed with JavaScript code with clickable icons for provisioned services from the authentication server.

Classes IPC  ?

• H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
• H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
• G06F 3/0481 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] fondées sur des propriétés spécifiques de l’objet d’interaction affiché ou sur un environnement basé sur les métaphores, p.ex. interaction avec des éléments du bureau telles les fenêtres ou les icônes, ou avec l’aide d’un curseur changeant de comport
• G06F 3/0488 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] utilisant des caractéristiques spécifiques fournies par le périphérique d’entrée, p.ex. des fonctions commandées par la rotation d’une souris à deux capteurs, ou par la nature du périphérique d’entrée, p.ex. des gestes en fonction de la pression exer utilisant un écran tactile ou une tablette numérique, p.ex. entrée de commandes par des tracés gestuels
• G06F 21/41 - Authentification de l’utilisateur par une seule ouverture de session qui donne accès à plusieurs ordinateurs

Abrégé

An authentication server is connected to a plurality of client devices via a network and includes: a storage that stores a database including: a plurality of pieces of user information; and multiple kinds of a plurality of pieces of credential information for logging into an application or service provided by an external server via each of the client devices; and a processor that: upon receiving a first piece of user information from a first client device, determines whether the database contains a first piece of credential information corresponding to the first piece of user information, and upon determining that the database contains the first piece of credential information, sends to the first client device the first piece of credential information required to allow a user to log into the application or service provided via the first client device.

Classes IPC  ?

• H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
• H04L 9/40 - Protocoles réseaux de sécurité
• H04W 12/06 - Authentification

Abrégé

A method and system to detect visual spoofing of a process of authenticating a person's identity employs computer vision techniques to define characteristics of different kinds of spoofing. Embodiments identify a foreground object within an image and by examining positions and/or orientations of that foreground object within the image, determine whether the presentation of the foreground object is an attempt to spoof the authentication process.

Classes IPC  ?

• G06V 40/40 - Détection d’usurpation, p.ex. détection d’activité
• G06T 7/194 - Découpage; Détection de bords impliquant une segmentation premier plan-arrière-plan
• G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
• G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions

Abrégé

Aspects of the present invention provide a new text location technique, which can be applied to general handwriting detection at a variety of levels, including characters, words, and sentences. The inventive technique is efficient in training deep learning systems to locate text. The technique works for different languages, for text in different orientations, and for overlapping text. In one aspect, the technique's ability to separate overlapping text also makes the technique useful in application to overlapping objects. Embodiments take advantage of a so-called skyline appearance that text tends to have. Recognizing a skyline appearance for text can facilitate the proper identification of bounding boxes for the text. Even in the case of overlapping text, discernment of a skyline appearance for words can help with the proper identification of bounding boxes for each of the overlapping text words/phrases, thereby facilitating the separation of the text for purposes of recognition.

Classes IPC  ?

• G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
• G06T 11/20 - Traçage à partir d'éléments de base, p.ex. de lignes ou de cercles
• G02B 27/46 - Systèmes utilisant des filtres spatiaux
• G06K 9/72 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques utilisant une analyse de contexte basée sur l'identité provisoire attribuée à une série de formes successives, p.ex. d'un mot
• G06F 40/10 - Traitement de texte
• H04N 1/00 - Balayage, transmission ou reproduction de documents ou similaires, p.ex. transmission de fac-similés; Leurs détails
• G06F 40/20 - Analyse du langage naturel
• G06T 9/00 - Codage d'image
• G06F 40/00 - Maniement de données en langage naturel

Abrégé

A method and system providing an anti-counterfeiting label or mark, using ordinary inkjet printers, take advantage of a phenomenon called a coffee ring pattern, something that inkjet printers. Even the same inkjet printer can output different patterns under different conditions. As a result, the likelihood of reproduction of a particular printer's coffee ring pattern using another printer is so low as to be negligible. It is possible to capture images of the coffee rings using a smartphone camera. The coffee ring approach may be used on any labels or packages on which inkjet printing can be used.

Classes IPC  ?

• G06Q 30/00 - Commerce
• G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code

Abrégé

Method and apparatus to match bounding boxes around text to align forms. The approach is less computationally intensive, and less prone to error than text recognition. For purposes of achieving alignment, information per se is not as important as information location. Information within the bounding boxes is not as critical as is the location of the area which the bounding boxes occupy. Scanning artifacts, missing characters, or noise generally do not affect bounding boxes themselves so much as they do the contents of the bounding boxes. Thus, for purposes of form alignment, the bounding boxes themselves are sufficient. Using bounding boxes also avoids misalignment issues that can result from stray marks on a page, for example, from holes punched in a sheet, or from handwritten notations.

Classes IPC  ?

• G06V 30/414 - Extraction de la structure géométrique, p.ex. arborescence; Découpage en blocs, p.ex. boîtes englobantes pour les éléments graphiques ou textuels
• G06V 10/24 - Alignement, centrage, détection de l’orientation ou correction de l’image
• G06V 30/224 - Reconnaissance de caractères caractérisés par le type d’écriture de caractères imprimés pourvus de marques de codage additionnelles ou de marques de codage
• G06V 30/416 - Extraction de la structure logique, p.ex. chapitres, sections ou numéros de page; Identification des éléments de document, p.ex. des auteurs
• G06V 30/40 - Reconnaissance des formes à partir d’images axée sur les documents

Abrégé

A method, non-transitory computer readable medium, and system to reduce visual background noise in an image, especially in images of document pages, without destroying and/or deteriorating the content of that image. In particular, natural images, filled and stroked vector graphics, and text are protected from being destroyed and/or deteriorated by the noise removal process.

Classes IPC  ?

• G06K 9/40 - Filtrage du bruit
• G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales

Produits et services

Installation and maintenance of computers, computer servers, and computer peripherals Installation and maintenance of computer software; technical support, namely, troubleshooting computer software and hardware problems via phone, e-mail, and in person; technological consultation in the technology field of computer software, computer hardware systems, computer networks, and computer connectivity via electronic communication networks; custom computer programming for others

Abrégé

An image processing method to generate a layout of searchable content from a physical document. The method includes generating extracted content blocks in the physical document, generating, based on a bounding box of a text block, a layout rectangle that identifies where machine-encoded text is placed in the layout of the searchable content, generating, based on a bounding box of a non-text block, an avoidance region that identifies where the machine-encoded text is prohibited in the layout of the searchable content, generating, based on the layout rectangle and the avoidance region, a draft layout of the searchable content, and iteratively adjusting a point size of the machine-encoded text in the draft layout to generate the layout of the searchable content.

Classes IPC  ?

• G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
• G06V 30/414 - Extraction de la structure géométrique, p.ex. arborescence; Découpage en blocs, p.ex. boîtes englobantes pour les éléments graphiques ou textuels
• G06F 40/58 - Utilisation de traduction automatisée, p.ex. pour recherches multilingues, pour fournir aux dispositifs clients une traduction effectuée par le serveur ou pour la traduction en temps réel
• G06T 11/20 - Traçage à partir d'éléments de base, p.ex. de lignes ou de cercles
• G06F 17/18 - Opérations mathématiques complexes pour l'évaluation de données statistiques
• G06V 30/148 - Découpage de zones de caractères
• G06V 30/10 - Reconnaissance de caractères

Abrégé

A method to reduce background noise in a document image. The method includes extracting, from the document image, a connected component corresponding to a background of the document image, generating a histogram of pixel values of the connected component, generating, using a non-linear mapping function based on the histogram, a non-linear probability distribution of the pixel values in the connected component, generating, based at least on a comparison between the non-linear probability distribution and a predetermined threshold, a replacement range of the pixel values, selecting, from the connected component, a pixel having a pixel value within the replacement range, and converting the pixel value of the pixel to a uniform background color.

Classes IPC  ?

• G06T 5/40 - Amélioration ou restauration d'image en utilisant des techniques d'histogrammes
• G06T 5/00 - Amélioration ou restauration d'image
• G06K 9/38 - Quantification du signal image analogique

Abrégé

An integrated sensing system to perform multi-modality sensing of an environment. The integrated sensing system includes a first sensing element that generates a first modality sensing output of the environment, a first edge artificial intelligence (AI) engine that controls the first sensing element and generates a first data analysis result based on the first modality sensing output, a second sensing element that generates a second modality sensing output of the environment, a second edge AI engine that controls the second sensing element and generates a second data analysis result based on the second modality sensing output, and a computer processor that generates, using a central AI algorithm, a classification result of the environment based on the first data analysis result and the second data analysis result, where the computer processor is directly coupled to the first edge AI engine and the second edge AI engine.

Classes IPC  ?

• H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p.ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
• G06N 3/04 - Architecture, p.ex. topologie d'interconnexion
• G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuées; Architectures de systèmes de bases de données distribuées à cet effet
• G06N 3/08 - Méthodes d'apprentissage

Abrégé

A method of generating an editable translated electronic document from an input image of an original document with a first layout includes: segmenting the input image to generate a first region including first untranslated text; extracting, from the first region, the first untranslated text and a first layout information; generating an editable output data including the first untranslated text and the first layout information; translating the first untranslated text into a translated text; editing the output data to include the translated text; and generating, using the first layout information, the translated electronic document including the translated text and a second layout that is identical to the first layout.

Classes IPC  ?

• G06F 40/40 - Traitement ou traduction du langage naturel
• G06F 3/0485 - Défilement ou défilement panoramique
• G06F 40/47 - Traduction assistée par ordinateur, p.ex. utilisant des mémoires de traduction
• G06F 40/42 - Traduction appuyée sur des données
• G06F 40/166 - Traitement de texte Édition, p.ex. insertion ou suppression
• G06V 10/40 - Extraction de caractéristiques d’images ou de vidéos
• G06V 30/148 - Découpage de zones de caractères

Abrégé

In providing cloud services, key-based security measures specific to a local network are utilized when an internal client terminal logs into the network to access cloud services, and when a remote client terminal connects directly to the cloud services. A cloud service computer references the credential authorization service of the local network, allowing key-based security measures of that network to be applied even when a remote client terminal connects directly to a cloud service computer. By referencing the local credential authorization service, it is possible to provide cloud services to different organizations that administer key-based security measures independently of each other.

Classes IPC  ?

• H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
• H04L 9/08 - Répartition de clés
• H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
• H04L 9/32 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système

Abrégé

A method for aligning and merging contents from multiple collaborative workstations. Collaborative workstations are multiple workstations that contribute respective contents to be combined into a single computer-generated output. The content generated from each collaborative workstation is the collaborative content. Individual collaborative content is created from each workstation by a user drawing on a piece of paper that is placed on a workspace surface of the workstation. Collaborative contents contributed by multiple workstations are aligned such that a combined product (i.e., a single computer-generated output) including both virtual and physical content appears to be collaboratively drawn by multiple users on a single piece of paper.

Classes IPC  ?

• G06T 7/80 - Analyse des images capturées pour déterminer les paramètres de caméra intrinsèques ou extrinsèques, c. à d. étalonnage de caméra
• H04N 9/31 - Dispositifs de projection pour la présentation d'images en couleurs
• G03B 21/14 - Projecteurs ou visionneuses du type par projection; Leurs accessoires - Détails
• G03B 21/132 - Projecteurs verticaux, c. à d. capables de projeter l'écriture ou le dessin à la main pendant une action

Abrégé

An authentication server that connects a client device and a target server via a first network. The authentication server includes: a storage and a processor. The storage stores user-specific information that includes a plurality of data items. The processor: upon receiving an authentication request including a user ID and a user password, an authentication ID, a biometric device ID unique to a user, or biometric data of a user, identifies a corresponding credential data of the user; determines which of the items in the user-specific information will be sent to the client device; and returns the determined items to the client device, and causes the client device to store the determined items as cache data used for logging into at least one of the client device and the target service, wherein the client device and the target server have given a login authority to the user.

Classes IPC  ?

• H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole

Abrégé

A single-step method of generating a three dimensional (3D) printed article includes: selecting a first metastructure and a second metastructure; designing and constructing a first transitional metastructure that transitions from the first metastructure to the second metastructure; depositing a first layer comprising the first metastructure; seamlessly connecting the first and first transitional metastructures by depositing a first transitional layer comprising the first transitional metastructure on the first layer; and seamlessly connecting the first transitional and second metastructures by depositing a second layer comprising the second metastructure on the first transitional layer.

Classes IPC  ?

• G10K 11/168 - Sélection de matériaux de plusieurs couches de matériaux différents, p.ex. sandwiches
• B33Y 80/00 - Produits obtenus par fabrication additive
• B29C 64/393 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive
• B33Y 50/02 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive
• B29C 64/10 - Procédés de fabrication additive
• B33Y 10/00 - Procédés de fabrication additive
• B29C 64/386 - Acquisition ou traitement de données pour la fabrication additive
• B33Y 50/00 - Acquisition ou traitement de données pour la fabrication additive

Abrégé

A method, a non-transitory computer readable medium, and a system are disclosed for recommending products based on usage of one or more multifunctional printers. The method includes collecting usage data from a multifunctional printer; classifying the usage data from the multifunctional printer into one or more categories; comparing the usage data from the multifunctional printer in each of the one or more categories to usage data from one or more other multifunctional printers; determining one or more usage patterns for the multifunctional printer from the comparison of the usage data between the multifunctional printer in each of the one or more categories to the usage data from one or more other multifunctional printers; identifying one or more products or services based on the one or more usage patterns for the multifunctional printer; and recommending one or more products or services for the multifunctional printer on a graphical user interface (GUI).

Classes IPC  ?

• H04N 1/00 - Balayage, transmission ou reproduction de documents ou similaires, p.ex. transmission de fac-similés; Leurs détails
• G06N 3/08 - Méthodes d'apprentissage
• G06F 3/12 - Sortie numérique vers une unité d'impression

Produits et services

(1) Rental of office machinery and equipment

Abrégé

A method, non-transitory computer readable medium, and system for inferring certain texts as stylized section headings in an electronic document (ED). Stylized section headings are section headings that have unique styling distinct from the body of text below each stylized heading. In particular, the stylized section headings are identified based on styling information in the ED. Identifying stylized section headings includes grouping candidate headings based on identification of dominant styling, locating high level fragments, and repeatedly locating nested fragments from within higher level fragments. The ED may or may not include explicitly identified headings in the document.

Classes IPC  ?

• G06F 40/205 - Analyse syntaxique
• G06V 30/414 - Extraction de la structure géométrique, p.ex. arborescence; Découpage en blocs, p.ex. boîtes englobantes pour les éléments graphiques ou textuels
• G06V 30/416 - Extraction de la structure logique, p.ex. chapitres, sections ou numéros de page; Identification des éléments de document, p.ex. des auteurs
• G06F 40/258 - Extraction des en-têtes; Insertion automatique des titres; Numérotation
• G06V 30/10 - Reconnaissance de caractères
• G06N 5/04 - Modèles d’inférence ou de raisonnement

Abrégé

A method for processing an electronic document (ED) to infer a sequence of section headings in the ED. The method includes generating, by a computer processor, based on regular expression matching of a predetermined section heading pattern and a plurality of characters in the ED, a list of candidate headings in the ED; generating, by the computer processor and based on the list of candidate headings, a list of chain fragments for inferring a portion of the sequence of section headings; and generating, by the computer processor and based on predetermined criteria, the sequence of section headings by merging at least two chain fragments in the list of chain fragments.

Classes IPC  ?

• G06N 5/04 - Modèles d’inférence ou de raisonnement
• G06F 40/258 - Extraction des en-têtes; Insertion automatique des titres; Numérotation

Abrégé

A method, a non-transitory computer readable medium, and a system are disclosed for scheduling print jobs on a plurality of printers. The method includes: collecting job information on each of a plurality of print jobs; obtaining a predicted success rate for each of the plurality of print jobs with each of the plurality of printers based on the job information on the each of the plurality of print jobs, the predicted success rate being a likelihood that a print job can be successfully completed by a printer; and assigning each of the plurality of print jobs to one or more printers of the plurality of printers with the predicted success rate for each of the one or more printers of the plurality of print jobs being greater than a predicted success threshold.

Classes IPC  ?

• G06F 3/12 - Sortie numérique vers une unité d'impression
• G06N 20/00 - Apprentissage automatique
• G06N 5/04 - Modèles d’inférence ou de raisonnement

Abrégé

In a color to grayscale image conversion particularly method suitable for processing color document images such as forms, the color image is analyzed to determined which of the red, green and blue channels are the most dominant, second most dominant, and least dominant channels, based on the amount of information contained in each channel. Then, coefficients are assigned to the three channels, where the coefficient for the most dominant channel is smaller than the coefficient for the second most dominant color channel, which is in turn smaller than the coefficient for the least dominant color channel. The grayscale pixel value is then calculated using a linear combination of the red, green and blue pixel values weighted by their assigned coefficients. In one example, the ratio of the coefficients for the least dominant, the second most dominant and the most dominant channels is 10:3:1.

Classes IPC  ?

• H04N 1/60 - Correction ou commande des couleurs
• H04N 1/40 - Circuits des signaux d'image
• H04N 1/411 - Réduction de la largeur de bande ou de la redondance pour la transmission ou la reproduction d'images à deux tons, p.ex. images en noir et blanc

Abrégé

A method to detect a finger press in an augmented reality (AR) workspace. The method includes obtaining, using an image sensor, an image of the AR workspace, where the image includes an icon of a graphic user interface (GUI), where the GUI is hovered over by a hand of a user, extracting, by a computer processor based at least on a skin tone color filter, a hand candidate from the image of the AR workspace, extracting, by the computer processor based on a pre-determined confidence measure, a finger candidate from a contour of the hand candidate, and detecting, by the computer processor based on a location of the finger candidate with respect to the icon of the GUI, the finger press performed by the hand of the user.

Classes IPC  ?

• G06F 3/042 - Numériseurs, p.ex. pour des écrans ou des pavés tactiles, caractérisés par les moyens de transduction par des moyens opto-électroniques
• G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
• G06K 9/46 - Extraction d'éléments ou de caractéristiques de l'image
• G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p.ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
• G06T 7/194 - Découpage; Détection de bords impliquant une segmentation premier plan-arrière-plan
• G06T 7/246 - Analyse du mouvement utilisant des procédés basés sur les caractéristiques, p.ex. le suivi des coins ou des segments

Produits et services

Computer security consultancy; computer security threat analysis for protecting data; computer software consultation; consulting in the field of IT project management; data security consultancy; information technology consulting services; internet security consultancy; IT consulting services

Abrégé

The method includes: obtaining a first file of a computer-aided design (CAD) application; identifying, within the first file, a first 3D shape associated with a 3D infill pattern; generating a second file including: a first section specifying the 3D infill pattern; and a second section including instructions describing the first 3D shape filled with multiple instances of the 3D infill pattern by referencing the first section. The first section and the second section are separate in the second file.

Classes IPC  ?

• B33Y 50/02 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive
• B29C 64/386 - Acquisition ou traitement de données pour la fabrication additive

Abrégé

A method for processing an image of a physical document to show a redacted portion including: identifying a tag associated with the redacted portion and including first user rights; obtaining, using the identified tag, a digital copy of the physical document including a non-redacted form of the redacted portion; receiving, from an external device, second user rights; determining that the second user rights match the first user rights; outputting, based on the determination, information indicating that the non-redacted form of the redacted portion is able to be shown; receiving, in response to the non-redacted form being able to be shown, an instruction to display the non-redacted form; and displaying, based on the instruction and using a projector onto a surface a predetermined distance from the physical document, the non-redacted form of the redacted portion.

Classes IPC  ?

• G06F 21/62 - Protection de l’accès à des données via une plate-forme, p.ex. par clés ou règles de contrôle de l’accès
• H04N 1/44 - Systèmes à secret
• G06V 20/20 - RECONNAISSANCE OU COMPRÉHENSION D’IMAGES OU DE VIDÉOS Éléments spécifiques à la scène dans les scènes de réalité augmentée
• G06V 30/416 - Extraction de la structure logique, p.ex. chapitres, sections ou numéros de page; Identification des éléments de document, p.ex. des auteurs
• G06V 30/10 - Reconnaissance de caractères
• G06F 21/84 - Protection des dispositifs de saisie, d’affichage de données ou d’interconnexion dispositifs d’affichage, p.ex. écrans ou moniteurs
• G06V 30/14 - Acquisition d’images
• G06F 17/00 - TRAITEMENT ÉLECTRIQUE DE DONNÉES NUMÉRIQUES Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des fonctions spécifiques

Abrégé

A method for generating a thermo set Fiber- Reinforced Polymer (FRP) composite preform includes: dispensing, from a print head of a 3D-printer, a dual-cure resin coated fiber including a dual-cure resin with a ultra-violet (UV)-curable component and a thermally-curable component; curing, during the dispensing of the dual-cure resin coated fiber, the UV-curable component with a UV light source such that the dual-cure resin coated fiber is partially cured and contacting lengths of the partially-cured dual-cure resin coated fiber bond together; and positioning the print head during the dispensing and curing of the dual-cure resin coated fiber to three- dimensionally print the thermoset FRP composite preform.

Classes IPC  ?

• B33Y 70/00 - Matériaux spécialement adaptés à la fabrication additive
• C08G 59/68 - Macromolécules obtenues par polymérisation à partir de composés contenant plusieurs groupes époxyde par molécule en utilisant des agents de durcissement ou des catalyseurs qui réagissent avec les groupes époxyde caractérisées par les catalyseurs utilisés
• C08L 63/00 - Compositions contenant des résines époxy; Compositions contenant des dérivés des résines époxy

Abrégé

A method for generating a thermoset Fiber-Reinforced Polymer (FRP) composite preform includes: dispensing, from a print head of a 3D-printer, a dual-cure resin coated fiber including a dual-cure resin with a ultra-violet (UV)-curable component and a thermally-curable component; curing, during the dispensing of the dual-cure resin coated fiber, the UV-curable component with a UV light source such that the dual-cure resin coated fiber is partially cured and contacting lengths of the partially-cured dual-cure resin coated fiber bond together; and positioning the print head during the dispensing and curing of the dual-cure resin coated fiber to three-dimensionally print the thermoset FRP composite preform.

Classes IPC  ?

• B29B 11/16 - Fabrication de préformes caractérisées par la structure ou la composition comprenant des charges ou des agents de renforcement
• B33Y 10/00 - Procédés de fabrication additive
• B33Y 30/00 - Appareils pour la fabrication additive; Leurs parties constitutives ou accessoires à cet effet
• B33Y 50/02 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive
• B29B 13/08 - Conditionnement ou traitement physique de la matière à façonner par utilisation de l'énergie ondulatoire ou par rayonnement corpusculaire
• B29C 70/48 - Façonnage ou imprégnation par compression pour la fabrication d'objets de longueur définie, c.à d. d'objets distincts utilisant des moules opposables, p.ex. pour déformer des préimprégnés [SMC] ou des "prepregs" avec une imprégnation des renforcements dans le moule fermé, p.ex. moulage par transfert de résine [RTM]
• B29K 101/10 - Résines thermodurcissables

Abrégé

A carbon nanotube (CNT) resonator includes: a first CNT having a first end and a second end both fixed to a substrate; and a second CNT having a first end fixed to the substrate. The second CNT creates a Van der Waals (VdW) bond with the first CNT where the second CNT overlaps the first CNT. A length of the VdW bond along a distance between the first and the second CNTs oscillates based on a DC voltage applied between the first end of the first CNT and the first end of the second CNT. An electrical current passing through the first and the second CNTs using the VdW bond oscillates based on the oscillation of the length of the VdW bond.

Classes IPC  ?

• H03H 9/02 - Réseaux comprenant des éléments électromécaniques ou électro-acoustiques; Résonateurs électromécaniques - Détails
• C01B 32/159 - Nanotubes de carbone mono-paroi
• H03H 9/10 - Montage dans des boîtiers
• H03H 3/02 - Appareils ou procédés spécialement adaptés à la fabrication de réseaux d'impédance, de circuits résonnants, de résonateurs pour la fabrication de résonateurs ou de réseaux électromécaniques pour la fabrication de résonateurs ou de réseaux piézo-électriques ou électrostrictifs
• B82Y 40/00 - Fabrication ou traitement des nanostructures

Produits et services

Rental of office machinery and equipment

Abrégé

A method for generating a searchable file from a document. The method includes identifying an object within the document and a formatting attribute of the object, determining an inferred semantic characteristic of the object by comparing the formatting attribute with a plurality of inference rules, wherein the inferred semantic characteristic comprises an estimation of author-defined semantic characteristic of the object, generating metadata based at least on the inferred semantic characteristic and the formatting attribute of the object, wherein the metadata comprises text data that is searchable by a search application for the searchable file to identify the object within the searchable file, and generating, based on the document, the searchable file comprising the metadata.

Classes IPC  ?

• G06F 16/14 - Systèmes de fichiers; Serveurs de fichiers - Détails de la recherche de fichiers basée sur les métadonnées des fichiers
• G06F 16/80 - Recherche d’informations; Structures de bases de données à cet effet; Structures de systèmes de fichiers à cet effet de données semi-structurées, p.ex. données structurées par un langage de balisage tels SGML, XML ou HTML
• G06F 16/16 - Opérations sur les fichiers ou les dossiers, p.ex. détails des interfaces utilisateur spécialement adaptées aux systèmes de fichiers
• G06F 16/33 - Requêtes

Abrégé

A method is disclosed for training a machine learning model to process electronic documents (EDs). The method includes obtaining a structured ED (SED) from a document repository, where the SED includes a first metadata. The method further generates, based on the SED, a bitmap and a second metadata. The method also determines whether the second metadata is within a predetermined threshold of the first metadata and generates, based on the SED and in response to determining that the second metadata is not within the predetermined threshold of the first metadata, a third metadata. The method additionally determines whether the third metadata is within the predetermined threshold of the first metadata and stores, in response to determining that the third metadata is within the predetermined threshold of the first metadata, a second SED comprising the bitmap and the third metadata.

Classes IPC  ?

• G06F 16/583 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
• G06N 20/00 - Apprentissage automatique
• G06F 16/80 - Recherche d’informations; Structures de bases de données à cet effet; Structures de systèmes de fichiers à cet effet de données semi-structurées, p.ex. données structurées par un langage de balisage tels SGML, XML ou HTML
• G06F 16/93 - Systèmes de gestion de documents

Produits et services

Rental of office machinery and equipment

Abrégé

A thermochromic device includes a film and a number of vanadium dioxide nanowires disposed within the film. The film is manufactured by hot extruding a material that includes a polymer and a plurality of vanadium dioxide nanowires on a drum to form a rough film.

Classes IPC  ?

• C09D 5/26 - Peintures thermosensibles
• B29C 71/00 - Post-traitement d'objets sans modification de leur forme; Appareils à cet effet
• B29C 48/08 - Moulage par extrusion, c. à d. en exprimant la matière à mouler dans une matrice ou une filière qui lui donne la forme désirée; Appareils à cet effet caractérisées par la forme à l’extrusion de la matière extrudée plate, p.ex. panneaux flexible, p.ex. pellicules
• B29C 48/00 - Moulage par extrusion, c. à d. en exprimant la matière à mouler dans une matrice ou une filière qui lui donne la forme désirée; Appareils à cet effet
• C08K 9/02 - Ingrédients traités par des substances inorganiques
• C08K 7/08 - Composés contenant de l'oxygène
• B29K 105/16 - Charges
• B29K 505/08 - Métaux de transition
• B29K 67/00 - Utilisation de polyesters comme matière de moulage
• B29C 71/04 - Post-traitement d'objets sans modification de leur forme; Appareils à cet effet par énergie ondulatoire ou rayonnement corpusculaire
• B29C 35/08 - Chauffage ou durcissement, p.ex. réticulation ou vulcanisation utilisant l'énergie ondulatoire ou un rayonnement corpusculaire
• C08K 3/22 - Oxydes; Hydroxydes de métaux

Produits et services

Providing consulting services in the field of information technology and cyber security, namely, scouting computer networks to identify malicious threats, identifying systems vulnerabilities, identifying suspicious behavior with potential to compromise computer systems, computer threat detection, providing security compliance reporting, security intelligence and log management; IT consulting services, namely, computer network evaluation and safety assessment through social engineering, computer vulnerability assessments, application testing; providing computer security services, namely, integrating defenses across development and operations, unifying vulnerability detection and assessment, and providing attack protection from computer security breach attempts

Produits et services

Providing consulting services in the field of information technology and cyber security, namely, scouting computer networks to identify malicious threats, identifying systems vulnerabilities, identifying suspicious behavior with potential to compromise computer systems, computer threat detection, providing security compliance reporting, security intelligence and log management; IT consulting services, namely, computer network evaluation and safety assessment through social engineering, computer vulnerability assessments, application testing; providing computer security services, namely, integrating defenses across development and operations, unifying vulnerability detection and assessment, and providing attack protection from computer security breach attempts

Produits et services

Providing consulting services in the field of information technology and cyber security, namely, scouting computer networks to identify malicious threats, identifying systems vulnerabilities, identifying suspicious behavior with potential to compromise computer systems, computer threat detection, providing security compliance reporting, security intelligence and log management; IT consulting services, namely, computer network evaluation and safety assessment through social engineering, computer vulnerability assessments, application testing; providing computer security services, namely, integrating defenses across development and operations, unifying vulnerability detection and assessment, and providing attack protection from computer security breach attempts

Produits et services

Printing presses; digital label presses, namely, label pressing machines for forming and printing labels for commercial use

Produits et services

Computer security consultancy; Computer security threat analysis for protecting data; Computer software consultation; Consulting in the field of IT project management; Data security consultancy; Information technology consulting services; Internet security consultancy; IT consulting services

Abrégé

A system and method for multi-spectral gas concentration analysis that includes using a library of multiple sets of optimized spectral sensitivities prepared in advance, and a multi-spectral IR gas analyzer tuned to a set of optimized spectral sensitivity. The multi-spectral IR gas analyzer measures spectral absorption of gas using one or more different sets of optimized spectral sensitivities.

Classes IPC  ?

• G01N 21/3504 - Couleur; Propriétés spectrales, c. à d. comparaison de l'effet du matériau sur la lumière pour plusieurs longueurs d'ondes ou plusieurs bandes de longueurs d'ondes différentes en recherchant l'effet relatif du matériau pour les longueurs d'ondes caractéristiques d'éléments ou de molécules spécifiques, p.ex. spectrométrie d'absorption atomique en utilisant la lumière infrarouge pour l'analyse des gaz, p.ex. analyse de mélanges de gaz
• G01J 3/42 - Spectrométrie d'absorption; Spectrométrie à double faisceau; Spectrométrie par scintillement; Spectrométrie par réflexion
• G01N 33/00 - Recherche ou analyse des matériaux par des méthodes spécifiques non couvertes par les groupes
• G01N 33/22 - Combustibles; Explosifs
• G01J 3/02 - Spectrométrie; Spectrophotométrie; Monochromateurs; Mesure de la couleur - Parties constitutives
• G01J 3/36 - Mesure de l'intensité des raies spectrales directement sur le spectre lui-même Étude de plusieurs bandes d’un spectre à l’aide de détecteurs distincts
• G01J 3/12 - Production du spectre; Monochromateurs
• G01J 3/28 - Etude du spectre
• G01N 33/24 - Matériaux de la terre

Abrégé

A copier/printer exterior part uses a halogen-free flame-retardant resin composition. The halogen-free flame-retardant resin composition includes 5 wt % to 50 wt % of unused polycarbonate, 20 wt % to 63 wt % of recycled polycarbonate, 5 wt % to 35 wt % of recycled polyethylene terephthalate, 0.2 wt % to 2 wt % of a styrene-acrylonitrile-glycidyl methacrylate terpolymer, 5 wt % to 15 wt % of a toughener, 10 wt % to 20 wt % of a flame retardant, 0.1 wt % to 0.8 wt % of a flame-retardant antidrip agent, 0.1 wt % to 1 wt % of an antioxidant, and 0.1 wt % to 2 wt % of a lubricant. The styrene-acrylonitrile-glycidyl methacrylate terpolymer includes 1 wt % to 5 wt % of glycidyl methacrylate and 20 wt % to 33 wt % of acrylonitrile.

Classes IPC  ?

• C08K 5/521 - Esters des acides phosphoriques, p.ex. de H3PO4
• C08L 69/00 - Compositions contenant des polycarbonates; Compositions contenant des dérivés des polycarbonates
• C08L 67/02 - Polyesters dérivés des acides dicarboxyliques et des composés dihydroxylés

Produits et services

Application service provider (ASP) featuring software for use in knowledge management, document management, and for the collection, editing, organizing, modifying, transmission, storage and sharing of data and information

Produits et services

Software for enterprise resource planning and management of information technology hardware, specifically for use in connection with office automation and imaging products and services

Produits et services

CONSULTING SERVICES IN THE FIELD OF SELECTION, IMPLEMENTATION, AND USE OF COMPUTER HARDWARE AND CONSULTING SERVICES IN THE FIELD OF COMPUTER SOFTWARE AND COMPUTER SOFTWARE APPLICATIONS

Produits et services

Computer software that provides real-time, integrated business management intelligence related to office automation and imaging products and services by combining information from various databases and presenting it in an easy-to-understand user interface

Abrégé

3 represents a hydrogen atom, an alkyl group having 1 to 4 carbon atoms, or a phenyl group.

Classes IPC  ?

• G03G 5/00 - Organes d'enregistrement pour enregistrement original par exposition, p.ex. à la lumière, à la chaleur, aux électrons; Fabrication à cet effet; Emploi de matériaux spécifiés dans ce but

Abrégé

An image forming apparatus may include an electrophotographic photoreceptor and an intermediate transfer member. An image may be formed by primary transferring a toner image held on a surface of an electrophotographic photoreceptor to an intermediate transfer member, and secondary transferring the toner image from the intermediate transfer member to a transferee material. A dispersive component of surface energy of the electrophotographic photoreceptor and a dispersive component of surface energy of the intermediate transfer member may satisfy a relationship of (the dispersive component of surface energy of the electrophotographic photoreceptor)≦(the dispersive component of surface energy of the intermediate transfer member).

Classes IPC  ?

• G03G 13/01 - Procédés électrographiques utilisant un dessin de charge pour copies multicolores