Abstract

The following generally relates to using image classification techniques to determine the acceptability of form documents. In some examples, an image classification model may be trained to apply a first label to form documents that are acceptable and a second label to form documents that are unacceptable. In these examples, the image classification model may include a neural network, such as a convolutional neural network. Accordingly, the systems and methods generally relate to obtaining a submitted form document, inputting the submitted form document into the trained image classification model, and/or enforcing the acceptability decision of the image classification model.

IPC Classes  ?

• G06V 30/413 - Classification of content, e.g. text, photographs or tables
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
• G06V 30/19 - Recognition using electronic means
• G06V 30/412 - Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables

Abstract

Systems and methods are disclosed for generating one or more smart contracts for deployment onto a blockchain. The systems and methods may include (1) receiving vehicle information related to a vehicle; (2) analyzing the vehicle information to identify one or more safety features installed in the vehicle; (3) generating, based upon the one or more safety features identified, a smart contract that may be configured to (i) maintain a set of indications related to whether safety features in the one or more safety features installed in the vehicle have been activated, and (ii) automatically execute on the blockchain based upon the maintained set of indications; and/or (4) deploying the smart contract at a particular address on the blockchain.

IPC Classes  ?

• G06Q 40/08 - Insurance

Abstract

Systems and methods are disclosed for generating one or more smart contracts for deployment onto a blockchain. The systems and methods may include (1) receiving vehicle information related to a vehicle; (2) analyzing the vehicle information to identify one or more safety features installed in the vehicle; (3) generating, based upon the one or more safety features identified, a smart contract that may be configured to (i) maintain a set of indications related to whether safety features in the one or more safety features installed in the vehicle have been activated, and (ii) automatically execute on the blockchain based upon the maintained set of indications; and/or (4) deploying the smart contract at a particular address on the blockchain.

IPC Classes  ?

• G06Q 40/08 - Insurance

Abstract

Systems and methods are disclosed for generating one or more smart contracts for deployment onto a blockchain. The systems and methods may include (1) receiving vehicle information related to a vehicle; (2) analyzing the vehicle information to identify one or more safety features installed in the vehicle; (3) generating, based upon the one or more safety features identified, a smart contract that may be configured to (i) maintain a set of indications related to whether safety features in the one or more safety features installed in the vehicle have been activated, and (ii) automatically execute on the blockchain based upon the maintained set of indications; and/or (4) deploying the smart contract at a particular address on the blockchain.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G06Q 20/38 - Payment architectures, schemes or protocols - Details thereof

Abstract

Systems and methods are disclosed for generating one or more smart contracts for deployment onto a blockchain. The systems and methods may include (1) receiving vehicle information related to a vehicle; (2) analyzing the vehicle information to identify one or more safety features installed in the vehicle; (3) generating, based upon the one or more safety features identified, a smart contract that may be configured to (i) maintain a set of indications related to whether safety features in the one or more safety features installed in the vehicle have been activated, and (ii) automatically execute on the blockchain based upon the maintained set of indications; and/or (4) deploying the smart contract at a particular address on the blockchain.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G06K 9/62 - Methods or arrangements for recognition using electronic means

Abstract

A computer system for executing a processing graph including: (A) accessing a graph definition of the processing graph from a nodes database, each node of the processing graph representing a component of computation performed by at least one program referenced by that node; (B) constructing the processing graph in the at least one memory device; (C) identifying at least one group of nodes in the processing graph; (D) traversing the at least one group of nodes; (E) upon visiting a node of the at least one group of nodes, accessing a node definition of the node from the nodes database, the node definition identifying a program referenced by the node; (F) executing the program to generate an output; and (G) passing the output to a parent node of the node, the parent node using the output during processing of the parent node.

IPC Classes  ?

• G06F 16/901 - Indexing; Data structures therefor; Storage structures
• G06F 9/54 - Interprogram communication

Abstract

Systems and methods for identifying a condition associated with an individual in a home environment are provided. Sensors associated with the home environment detect data, which is captured and analyzed by a local or remote processor to identify the condition. In some instances, the sensors are configured to capture data indicative of electricity use by devices associated with the home environment, including, e.g., which devices are using electricity, what date/time electricity is used by each device, how long each device uses electricity, and/or the power source for the electricity used by each device. The processor analyzes the captured data to identify any abnormalities or anomalies, and, based upon any identified abnormalities or anomalies, the processor determines a condition (e.g., a medical condition) associated with an individual in the home environment. The processor generates and transmits a notification indicating the condition associated with the individual to a caregiver of the individual.

IPC Classes  ?

• G08B 21/04 - Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
• G06N 20/00 - Machine learning
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A personalized insurance (“PI”) computing device for determining an optimal insurance product for a driver operating a vehicle for a transportation network company (“TNC”) during a period of increased demand includes at least one processor in communication with at least one memory. The processor is configured to: (i) receive, from a TNC, data indicating increased demand for transportation services, (ii) retrieve driver data that includes the driver history, (iii) generate an optimal pricing model for the driver based upon the increased demand and the driver data, (iv) execute the model to determine an optimal insurance product having characteristics reflecting at least one risk factor associated with the increased demand for transportation services and a risk profile determined from analyzing the driver data, and (v) transmit an offer to the driver to provide transportation services at an increased earnings rate and with the determined optimal insurance product.

IPC Classes  ?

• G06Q 40/00 - Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• G06Q 30/0201 - Market modelling; Market analysis; Collecting market data
• G06Q 30/0282 - Rating or review of business operators or products
• G06Q 40/02 - Banking, e.g. interest calculation or account maintenance
• G06Q 40/08 - Insurance
• G07C 5/00 - Registering or indicating the working of vehicles
• G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
• G10L 15/18 - Speech classification or search using natural language modelling

Abstract

In one aspect, a graphical user interface (GUI) for a dynamic model creation (DMC) system may be provided. The GUI may include: (i) a first display area programmed to display the at least one model including a visual representation of a determined location where a collision occurred, and/or (ii) a second display area programmed to display at least one data table corresponding to the at least one model, wherein movement of a visual representation of a vehicle on the GUI during a simulation of the at least one model is controlled at least by telematics data, and wherein the GUI is configured to receive user inputs such that the visual representations in the first display area and the at least one data table in the second display area are dynamically modifiable by a user.

IPC Classes  ?

• G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
• G06F 16/29 - Geographical information databases
• G06F 30/20 - Design optimisation, verification or simulation
• G07C 5/00 - Registering or indicating the working of vehicles

Abstract

The following relates generally to assisting with repair of a physical item. In some embodiments, one or more processors: receive an indication of an insurance claim including an indication of a physical item to be repaired; determine a set of potential repair options for the physical item to be repaired; build a virtual model of the physical item to be repaired; and present, in the virtual environment: (i) the set of potential repair options, (ii) the physical item to be repaired, and/or (iii) a repaired version of the physical item to be repaired.

IPC Classes  ?

• G06Q 10/20 - Administration of product repair or maintenance
• G06Q 30/0283 - Price estimation or determination
• G06Q 40/08 - Insurance
• G06T 17/00 - 3D modelling for computer graphics
• G06T 19/00 - Manipulating 3D models or images for computer graphics

Abstract

The following relates generally to providing insurance for a non-fungible token (NFT). For example, an NFT may represent ownership of a digital asset, such as an image and/or video. However, NFTs are sometimes lost (e.g., due to hacking, data corruption, etc.), and it thus may be wise to purchase insurance for the NFT. As such, in some embodiments, one or more processors: receive a request to purchase insurance for an NFT; determine an insurance premium for the NFT; and send an insurance quote including the determined insurance premium.

IPC Classes  ?

• G06Q 40/08 - Insurance

Abstract

The following relates generally to assisting with replacement of a physical item. In some embodiments, one or more processors: receive an indication of an insurance claim including an indication of a physical item to be replaced; determine a set of potential replacement items for the physical item to be replaced; retrieve virtual data of the set of potential replacement items; and present, in a virtual environment, the set of potential replacement items to a user.

IPC Classes  ?

• G06Q 30/0601 - Electronic shopping [e-shopping]
• G06Q 30/0283 - Price estimation or determination
• G06Q 40/08 - Insurance

Abstract

The following relates generally to updating an inventory of insured items. In some embodiments, one or more processors: identify a digital wallet of non-fungible tokens (NFTs) configured to store NFTs that correspond to insured items associated with an individual; detect a request to add a NFT corresponding to an insured item to the digital wallet; update the digital wallet to include the NFT; and display a virtual representation of the insured items of the NFTs of the digital wallet.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders
• G06Q 20/36 - Payment architectures, schemes or protocols characterised by the use of specific devices using electronic wallets or electronic money safes

Abstract

Systems and methods are described for generating efficient iterative electronic recommendation structures. In various aspects, one or more processors aggregate a plurality of ratings vectors, where each ratings vector is associated with a vector type and contains one or more content ranking metrics associated with one or more users. The one or more processors generate similarity pairing values from the plurality of ratings vectors, where each similarity pairing value is based on a similarity mapping between a first ratings vector and a second ratings vector. The one or more processors further generate an electronic recommendation structure based on the similarity pairing values, where the electronic recommendation structure includes a bi-directional look-up interface that is configured to return a bi-directional recommendation value after receiving a lookup request for either the vector type of the first ratings vector or the vector type of the second ratings vector.

IPC Classes  ?

• G06Q 30/0282 - Rating or review of business operators or products
• G06Q 30/0201 - Market modelling; Market analysis; Collecting market data
• G06Q 30/0204 - Market segmentation
• G06Q 50/00 - Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism

Abstract

Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A computing device may receive data for the same road segment from autonomous vehicles, including (i) an indication of a location within the road segment, and (ii) an indication of a condition of the road segment. The computing device may generate, from the data for the same road segment, an overall indication of the condition of the road segment, which may include a recommendation to vehicles approaching the road segment. Additionally, the computing device may receive a request from a computing device within a vehicle approaching the road segment to display vehicle data. The overall indication for the road segment may then be displayed on a user interface of the computing device.

IPC Classes  ?

• G01C 21/34 - Route searching; Route guidance
• B60L 53/36 - Means for automatic or assisted adjustment of the relative position of charging devices and vehicles by positioning the vehicle
• B60L 58/12 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
• B60P 3/12 - Vehicles adapted to transport, to carry or to comprise special loads or objects for salvaging damaged vehicles
• B60R 16/023 - Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric for transmission of signals between vehicle parts or subsystems
• B60R 21/0136 - Electrical circuits for triggering safety arrangements in case of vehicle accidents or impending vehicle accidents including means for detecting collisions, impending collisions or roll-over responsive to actual contact with an obstacle
• B60R 21/34 - Protecting non-occupants of a vehicle, e.g. pedestrians
• B60R 25/04 - Fittings or systems for preventing or indicating unauthorised use or theft of vehicles operating on vehicle systems or fittings, e.g. on doors, seats or windscreens operating on the propulsion system, e.g. engine or drive motor
• B60R 25/10 - Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device
• B60R 25/102 - Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device a signal being sent to a remote location, e.g. a radio signal being transmitted to a police station, a security company or the owner
• B60R 25/104 - Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device characterised by the type of theft warning signal, e.g. visual or audible signals with special characteristics
• B60R 25/25 - Means to switch the anti-theft system on or off using biometry
• B60R 25/30 - Detection related to theft or to other events relevant to anti-theft systems
• B60R 25/31 - Detection related to theft or to other events relevant to anti-theft systems of human presence inside or outside the vehicle
• B60W 10/04 - Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
• B60W 10/18 - Conjoint control of vehicle sub-units of different type or different function including control of braking systems
• B60W 10/20 - Conjoint control of vehicle sub-units of different type or different function including control of steering systems
• B60W 30/095 - Predicting travel path or likelihood of collision
• B60W 30/18 - Propelling the vehicle
• B60W 40/04 - Traffic conditions
• B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
• G01B 21/00 - Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
• G01C 21/36 - Input/output arrangements for on-board computers
• G01S 19/13 - Receivers
• G05B 15/02 - Systems controlled by a computer electric
• G05B 23/02 - Electric testing or monitoring
• G05D 1/00 - Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot
• G05D 1/02 - Control of position or course in two dimensions
• G06F 11/36 - Preventing errors by testing or debugging of software
• G06F 16/2455 - Query execution
• G06F 16/903 - Querying
• G06F 17/00 - Digital computing or data processing equipment or methods, specially adapted for specific functions
• G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
• G06F 21/55 - Detecting local intrusion or implementing counter-measures
• G06F 30/15 - Vehicle, aircraft or watercraft design
• G06F 30/20 - Design optimisation, verification or simulation
• G06Q 10/1093 - Calendar-based scheduling for persons or groups
• G06Q 10/20 - Administration of product repair or maintenance
• G06Q 30/0283 - Price estimation or determination
• G06Q 30/0645 - Rental transactions; Leasing transactions
• G06Q 40/08 - Insurance
• G06Q 50/16 - Real estate
• G06Q 50/26 - Government or public services
• G06Q 50/30 - Transportation; Communications
• G07C 5/00 - Registering or indicating the working of vehicles
• G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
• G07C 9/00 - Individual registration on entry or exit
• G08B 21/00 - Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
• G08B 21/02 - Alarms for ensuring the safety of persons
• G08B 21/18 - Status alarms
• G08B 25/00 - Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
• G08B 25/01 - Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
• G08G 1/00 - Traffic control systems for road vehicles
• G08G 1/017 - Detecting movement of traffic to be counted or controlled identifying vehicles
• G08G 1/0965 - Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages responding to signals from another vehicle, e.g. emergency vehicle
• G08G 1/0967 - Systems involving transmission of highway information, e.g. weather, speed limits
• G08G 1/14 - Traffic control systems for road vehicles indicating individual free spaces in parking areas
• G08G 1/16 - Anti-collision systems
• G16Y 10/80 - Homes; Buildings
• G16Y 30/00 - IoT infrastructure
• H04L 12/28 - Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
• H04L 67/306 - User profiles
• H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

A method includes training artificial neural network models; analyzing first data to determine vehicle imperatives; and generating a respective action value by analyzing actions using the of trained artificial neural network models. A non-transitory computer readable medium containing program instructions that when executed, cause a computer system to: train artificial neural network models; analyze first data to determine vehicle imperatives; and generate a respective action value by analyzing actions using the of trained artificial neural network models. A computing system includes: a processor; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to: train artificial neural network models; analyze first data to determine vehicle imperatives; and generate a respective action value by analyzing actions using the of trained artificial neural network models.

IPC Classes  ?

• G06Q 30/0208 - Trade or exchange of goods or services in exchange for incentives or rewards
• G06N 20/00 - Machine learning
• G06Q 10/20 - Administration of product repair or maintenance
• G06Q 50/30 - Transportation; Communications
• G08G 1/00 - Traffic control systems for road vehicles
• H04L 51/046 - Interoperability with other network applications or services
• H04L 51/224 - Monitoring or handling of messages providing notification on incoming messages, e.g. pushed notifications of received messages

Abstract

A big-data view integration platform generates integration guided user interfaces (GUIs). A first edge node ingests push-based and pull-based data from a plurality of platform services, which include legacy and non-legacy services having incompatible communication protocols. An event-based queue receives from the first edge node a plurality of queue events as indirect push-based data. A second set of queue events includes direct push-based data as received directly from a non-legacy platform service. A conformity component integrates the push-based data, the pull-based data, and the plurality of queue events into integration data having an enhanced integration format. A view integration component generates a plurality of data views from the integration data. A second edge node exposes the plurality of data views via an access services application programming interface (API). A new service execution component accesses the access services API to generate integration GUIs based on the data views.

IPC Classes  ?

• G06F 16/23 - Updating
• G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
• G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
• G06F 16/2458 - Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
• G06F 16/25 - Integrating or interfacing systems involving database management systems
• G06F 16/26 - Visual data mining; Browsing structured data
• G06F 16/28 - Databases characterised by their database models, e.g. relational or object models

Abstract

Methods and systems for processing a blockchain comprising a plurality of immutable sales records corresponding to sales made by agents of an entity are provided. According to certain aspects, a transaction request indicating a sale made by an agent of the entity may be received at a first node. A block including a sales record indicating the sale made by the agent may be added to a blockchain and transmitted to another node for validation. The first node may add the block to a copy of the blockchain, where the block may be identified by a hash value that references a previous block in the blockchain that includes at least one additional sales record.

IPC Classes  ?

• G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
• G06F 21/60 - Protecting data
• G06Q 20/10 - Payment architectures specially adapted for home banking systems
• G06Q 20/38 - Payment architectures, schemes or protocols - Details thereof
• G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists
• G06Q 40/08 - Insurance
• H04L 9/06 - Arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
• H04L 9/08 - Key distribution
• H04L 9/14 - Arrangements for secret or secure communications; Network security protocols using a plurality of keys or algorithms
• H04L 9/30 - Public key, i.e. encryption algorithm being computationally infeasible to invert and users' encryption keys not requiring secrecy
• H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
• H04L 9/40 - Network security protocols
• H04L 67/104 - Peer-to-peer [P2P] networks

Abstract

A computer-implement method and computer system may be configured to facilitate insurance claim processing and estate handling. An audible or visible chatbot avator or dopplegänger may lead a trustee, beneficiary, or family member through the estate of an impaired or deceased user. A computer system may have been provided with, or gather, sample voice and visual recordings associated with a user that are used to build the chatbot avatar that simulates the user audibly and/or visually. The computer system may have previously prompted the user for necessary items to properly handle their estate, such as information related to financial accounts, loans, insurance policies, etc. and user names and passwords to various electronic accounts.

IPC Classes  ?

• G06Q 40/00 - Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
• G06N 20/00 - Machine learning
• G06Q 10/10 - Office automation; Time management
• G06Q 10/20 - Administration of product repair or maintenance
• G06Q 30/0203 - Market surveys; Market polls
• G06Q 40/02 - Banking, e.g. interest calculation or account maintenance
• G06Q 40/08 - Insurance
• G06Q 40/12 - Accounting
• G06Q 50/00 - Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
• G06Q 50/16 - Real estate
• G06Q 50/18 - Legal services; Handling legal documents
• G07C 5/00 - Registering or indicating the working of vehicles
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

The following relates generally to providing insurance for one or more virtual items in a virtual environment. In some embodiments, an insurance server receives a request for insurance for one or more virtual items from a customer. The insurance server then obtains information associated with the one or more virtual items from a virtual environment server, and determines an insurance premium based upon the received information. The following also relates generally to providing backups of virtual items. In some embodiments, a backup server creates backups of virtual items by writing data associated with the virtual item to a data store. The virtual items may be fungible or non-fungible. In some embodiments, the virtual items are periodically backed up.

IPC Classes  ?

• G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
• G06Q 20/38 - Payment architectures, schemes or protocols - Details thereof
• G06Q 40/08 - Insurance

Abstract

The following relates generally to providing insurance for one or more virtual items in a virtual environment. In some embodiments, an insurance server receives a request for insurance for one or more virtual items from a customer. The insurance server then obtains information associated with the one or more virtual items from a virtual environment server, and determines an insurance premium based upon the received information. The following also relates generally to providing backups of virtual items. In some embodiments, a backup server creates backups of virtual items by writing data associated with the virtual item to a data store. The virtual items may be fungible or non-fungible. In some embodiments, the virtual items are periodically backed up.

IPC Classes  ?

• G06Q 40/08 - Insurance

Abstract

Techniques for identifying faults in a collaborative computing system including a plurality of disparate, geographically separated computing systems are described herein. An intelligent monitoring (IM) server computing system may receive data from the plurality of computing devices and may monitor the health of the collaborative computing system. The IM server computing system may analyze the data and identify one or more faults associated with a portion of the collaborative system (e.g., an associated computing device, platform, network, etc.). In some examples, the IM server computing system may be configured to identify potential future faults associated with the portion of the collaborative system. Based on the fault, the IM server computing device may determine an action to take to remedy the fault and/or prevent the potential future fault. The IM server computing device may either automatically perform the action or send a notification to the associated computing system to perform the action.

IPC Classes  ?

• G06F 11/00 - Error detection; Error correction; Monitoring
• G06F 11/07 - Responding to the occurrence of a fault, e.g. fault tolerance
• G06N 20/00 - Machine learning

Abstract

Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

IPC Classes  ?

• G06F 18/25 - Fusion techniques
• G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
• G06F 16/29 - Geographical information databases
• G06F 16/54 - Browsing; Visualisation therefor
• G06F 16/58 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• G06N 20/00 - Machine learning
• G06Q 10/20 - Administration of product repair or maintenance
• G06Q 50/26 - Government or public services
• G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
• G06V 20/56 - Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
• G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
• G07C 5/00 - Registering or indicating the working of vehicles
• G08G 1/052 - Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
• G11B 27/34 - Indicating arrangements
• H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

Techniques for detecting interactions between predictor variables in a statistical model are provided. The techniques include identifying predictor variables for a dependent variable; and for each pair of predictor variables: obtaining a dataset including (i) first predictor variable values, (ii) second predictor variable values, and (iii) dependent variable values associated with each pair of a first predictor variable value and a second predictor variable value; generating a three-dimensional graph based on the dataset, wherein each point of the three-dimensional graph includes a first coordinate value associated with a first predictor variable, a second coordinate value associated with a second predictor variable, and a third coordinate value associated with a dependent variable outcome; and analyzing the three-dimensional graph to determine a measure of spatial randomness associated with the three-dimensional graph. The techniques further include identifying pairs of predictor variables having interactions based on their respective measures of spatial randomness.

IPC Classes  ?

• G06N 7/00 - Computing arrangements based on specific mathematical models

Abstract

A computer system for analyzing voice bots. The computer system is programmed to: (1) store a plurality of completed conversations, wherein each conversation of the plurality of completed conversations includes a plurality of interactions between a user and a voice bot; (2) analyze the plurality of completed conversations; (3) determine a score for each completed conversation based upon the analysis, the score indicating a quality metric for the corresponding conversation; and/or (4) generate a report based upon the plurality of scores for the plurality of completed conversations.

IPC Classes  ?

• G10L 15/01 - Assessment or evaluation of speech recognition systems
• G10L 15/02 - Feature extraction for speech recognition; Selection of recognition unit
• G10L 15/18 - Speech classification or search using natural language modelling
• G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog

Abstract

Systems and methods for predictive data analytics are provided. A method comprises generating a guided user interface (GUI) that guides one or more user operations on the user interface including: obtaining, from a database, a dataset including a plurality of data objects; determining one or more characteristics associated with a first data object of the plurality of data objects; identifying a subset of the dataset based at least in part on the one or more characteristics; selecting at least one machine learning algorithm; and training a machine learning (ML) model with respect to the first data object using the subset of the dataset and the at least one machine learning algorithm to generate a trained ML model; implementing the trained ML model with respect to the first data object in a cloud server to enable distributing the trained ML model to a plurality of client device via a network.

IPC Classes  ?

• G06N 20/00 - Machine learning
• G06F 8/34 - Graphical or visual programming
• G06F 9/451 - Execution arrangements for user interfaces
• G06F 18/214 - Generating training patterns; Bootstrap methods, e.g. bagging or boosting

Abstract

A shared ledger operated by a group of network participants according to a set of consensus rules manages and resolves subrogation claims between a clamant and a defendant with arbitration. Evidence regarding the value of the subrogation claim is sent to the shared ledger by the parties to the subrogation claim such as sending data to a smart contract deployed on the shared ledger. The parties to the subrogation claim or entities that are not parties to the subrogation claim may broadcast data relating to fault to the blockchain. The data relating to fault may be evaluated by the parties or entities acting on the parties' behalf to determine fault. A fault determination may be broadcast to the blockchain based upon the analysis of the data relating to fault. Once the claim is resolved, arbitrator may release funds on the chain to the prevailing party or may accept confirmation that any payments have been made between the parties off-chain.

IPC Classes  ?

• G06Q 40/08 - Insurance

Abstract

Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle collision, in particular, utilizing evidence oracles as part of the subrogation process. An exemplary embodiment includes receiving recorded data from one or more connected devices at a geographic location; analyzing the recorded data, wherein analyzing the recorded data includes determining that an collision has occurred involving one or more vehicles; generating a transaction including the data indicative of the collision based upon the analysis; and transmitting the transaction to at least one other participant in the distributed ledger network.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G06F 16/182 - Distributed file systems
• G06F 16/29 - Geographical information databases
• G06F 16/903 - Querying
• G06Q 10/10 - Office automation; Time management
• H04L 9/06 - Arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
• H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
• H04L 9/40 - Network security protocols

Abstract

In a computer-implemented method, alert responsiveness data indicating how responsive a driver is to one or more types of vehicle alerts is received. The method also includes generating or modifying a driver profile associated with the driver, the driver profile including alert responsiveness profile information based upon the alert responsiveness data, and identifying, based at least upon the generated or modified driver profile, a suggested vehicle type. Identifying the suggested vehicle type includes determining that the generated or modified driver profile meets a set of one or more matching criteria associated with the suggested vehicle type at least in part by determining that the alert responsiveness profile information meets one or more criteria indicative of reliability of the suggested vehicle type. The method also includes causing an indication of the suggested vehicle type to be displayed to a user.

IPC Classes  ?

• G06Q 30/0201 - Market modelling; Market analysis; Collecting market data
• G06F 16/9535 - Search customisation based on user profiles and personalisation
• G06Q 10/1053 - Employment or hiring
• G06Q 30/0207 - Discounts or incentives, e.g. coupons or rebates
• G06Q 30/0251 - Targeted advertisements
• G06Q 30/0601 - Electronic shopping [e-shopping]
• G06Q 40/02 - Banking, e.g. interest calculation or account maintenance
• G06Q 40/03 - Credit; Loans; Processing thereof
• G06Q 40/08 - Insurance
• G07C 5/00 - Registering or indicating the working of vehicles
• G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time

Abstract

A system for analyzing the environment of a vehicle i) receives a plurality of data from at least one sensor associated with a vehicle, such that the plurality of data includes at least one environmental condition at a location; (ii) analyzes the plurality of data to determine the at least one environmental condition at the location; (iii) determines a condition of a building at the location based upon the at least one environmental condition; (iv) determines an insurance product for the building based upon the determined condition associated with the building; and (v) generates an insurance quote for the insurance product. As a result, the speed and accuracy of insurance providers learning about potential clients and the conditions of the potential client's property and needs is increased.

IPC Classes  ?

• G06Q 40/08 - Insurance
• B60W 10/20 - Conjoint control of vehicle sub-units of different type or different function including control of steering systems
• B60W 10/30 - Conjoint control of vehicle sub-units of different type or different function including control of auxiliary equipment, e.g. air-conditioning compressors or oil pumps
• B60W 30/085 - Taking automatic action to adjust vehicle attitude in preparation for collision, e.g. braking for nose dropping
• G06Q 30/0201 - Market modelling; Market analysis; Collecting market data
• G06Q 30/0251 - Targeted advertisements
• H04Q 9/00 - Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom

Abstract

The present techniques relate to, inter alia, cryptographically-verifiable insurance credentials and cryptographically-verifiable property transfer. The novel methods and systems of decentralized identity discussed herein improve user experience (whether individual or organizational) by moving control over identity from the hands of centralized entities, back to where it belongs—i.e., to the hands of individual organizations and users. In one aspect, a method includes obtaining a scanned image; processing the scanned image; transmitting a claim request; and receiving and storing an attestation response, and a computing system includes a processor; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to: receive a claim request; cryptographically verify the claim; and transmit an attestation response.

IPC Classes  ?

• G06Q 40/08 - Insurance
• H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system

Abstract

A method and system for improving damage assessment by automatic measurement of virtual objects within an augmented reality (AR) representation of a physical environment are disclosed. A user interacts with a mobile computing device to position and resize virtual objects within a virtual space corresponding to a physical environment, which is presented to the user as an AR environment generated by the mobile computing device. The virtual objects are positioned and sized to match damaged physical objects within the physical environment. The sizes of the physical objects are automatically determined using the virtual sizes of the virtual objects, which physical sizes are further used to determine the extent of damage.

IPC Classes  ?

• G06V 20/20 - Scenes; Scene-specific elements in augmented reality scenes
• G06T 19/00 - Manipulating 3D models or images for computer graphics
• G06V 20/10 - Terrestrial scenes
• H04W 4/021 - Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences

Abstract

A computer system for generating an insurance policy for a user includes a processor and a non-transitory, tangible, computer-readable storage medium having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations including: (i) receiving, from a wearable electronic user device, biometric data associated with a user; (ii) analyzing, based upon a plurality of rules, the biometric data; (iii) determining a health score associated with the user, based in part upon the analysis of the biometric data, wherein the health score represents a likelihood that the user will maintain a level of health for a predefined period of time; (iv) retrieving terms and conditions for an insurance policy from a database based upon the health score; and (v) generating, based upon the determining, an insurance policy for the user based upon the terms and conditions.

IPC Classes  ?

• G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
• G06Q 40/08 - Insurance
• G06V 40/70 - Multimodal biometrics, e.g. combining information from different biometric modalities
• G16H 40/60 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices

Abstract

Systems and methods for situational modification of autonomous vehicle operation are disclosed. According to aspects, a computing device may detect the occurrence of an emergency event and may determine a current operation of an autonomous vehicle that may be associated with the emergency event. The computing device may determine a modification to operation of the autonomous vehicle, where the modification may represent a violation of a roadway regulation that may enable effective handling of the emergency event. The computing device may generate a set of instructions for the autonomous vehicle to execute to cause the autonomous vehicle to undertake the operation modification.

IPC Classes  ?

• G08G 1/0965 - Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages responding to signals from another vehicle, e.g. emergency vehicle
• G05D 1/00 - Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot
• G08B 25/00 - Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
• G08G 1/0967 - Systems involving transmission of highway information, e.g. weather, speed limits
• G08G 1/16 - Anti-collision systems

Abstract

The following relates generally to providing a virtual insurance kiosk within a virtual environment. In some embodiments, an insurance server receives authentication credentials of a user device attempting to interact with the virtual insurance kiosk. The insurance server may authenticate the user device and establish a secure connection to the user device. The insurance server may then provide an insurance service to the user device. The following also relates generally to providing a secure virtual mall within a virtual environment. In some embodiments, a mall server receives authentication credentials from a user device and/or a vender server. The mall server may then authenticate the user to establish secure connection(s) to the user device and/or vender server. The mall server may process transactions between the user device and vender server, such as by underwriting insurance products related to the transactions.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G06Q 20/38 - Payment architectures, schemes or protocols - Details thereof
• G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists

Abstract

The present techniques relate to, inter alia, cryptographically-verifiable insurance credentials and cryptographically-verifiable property transfer. The novel methods and systems of decentralized identity discussed herein improve user experience (whether individual or organizational) by moving control over identity from the hands of centralized entities, back to where it belongs—i.e., to the hands of individual organizations and users. In one aspect, a method includes obtaining a scanned image; processing the scanned image; transmitting a claim request; and receiving and storing an attestation response, and a computing system includes a processor; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to: receive a claim request; cryptographically verify the claim; and transmit an attestation response.

IPC Classes  ?

• G06Q 30/018 - Certifying business or products

Abstract

Methods and systems for processing trip-based insurance policies for vehicles. According to aspects, a trip-based insurance policy of a vehicle specifies an amount of trip units for insured vehicle travel and has an associated policy term. In certain cases, a customer may exhaust trip units before an expiration of the policy term. The methods and systems therefore enable the purchase of additional trip units so that the customer remains insured. In other cases, upon expiration of the policy term, an insurance provider may calculate an amount of unused trip units. The insurance provider may determine one or more types of credit that are based on the amount of unused trip units. The insurance provider may also apply the one or more types of credit to an account of the customer.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G06Q 20/28 - Pre-payment schemes, i.e. "pay before"
• G06Q 30/0207 - Discounts or incentives, e.g. coupons or rebates
• G06Q 30/0226 - Incentive systems for frequent usage, e.g. frequent flyer miles programs or point systems
• G06Q 30/0272 - Period of advertisement exposure

Abstract

A multi-mode conversational computer system for implementing multiple simultaneous, nearly simultaneous or semi-simultaneous conversations and/or exchanges of information or receipt of user input. The computer system includes: (1) one or more processors and/or transceivers, and one or more memory units; (2) a touch display screen having a graphical user interface configured to accept user touch input; and/or (3) a voice bot configured to accept user voice input. A user engages in at least two separate exchanges of information/data with the computer system simultaneously, nearly simultaneously, or nearly at the same time via the touch display screen and the voice bot.

IPC Classes  ?

• G06F 3/16 - Sound input; Sound output
• G06F 3/0488 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
• G06Q 40/08 - Insurance

Abstract

In a method for applying penalties or incentives to a driver of a rented vehicle, an indication that the driver has agreed to terms for renting the vehicle from the vehicle owner is received, with the terms including the potential application of penalties or incentives to the driver based on driving behavior. Telematics data, indicative of operation of the rented vehicle by the driver during a period of time, is received. By analyzing the telematics data, one or more driving behaviors of the driver during the time period is/are identified. For each driving behavior, a corresponding state of an environment of the rented vehicle when the driving behavior occurred is determined. One or more penalties or incentives are caused to be applied to the driver, based on the driving behavior(s) and the corresponding state(s) of the environment of the rented vehicle.

IPC Classes  ?

• G06Q 30/0645 - Rental transactions; Leasing transactions
• B60W 40/04 - Traffic conditions
• B60W 40/06 - Road conditions
• B60W 40/09 - Driving style or behaviour

Abstract

A receipt capture tool residing on a customer mobile device may be initiated when a customer completes an in-store or online purchase. The receipt capture tool may prompt the customer to capture an image of a receipt detailing a purchase and an item (e.g., product or service) purchased. For instance, the photo of a physical receipt may be taken by the mobile device, or an electronic receipt or email detailing the purchasing transmitted from a physical merchant or online merchant server may be stored. Receipt information may be extracted and saved with other information pertinent to the item purchased, including warranty information. If the customer needs to return or repair the item purchased at a future date, the receipt and warranty information may be subsequently accessed via their mobile device. The receipt and warranty information may also be stored in a searchable database to facilitate easy retrieval by the customer.

IPC Classes  ?

• G06V 30/416 - Extracting the logical structure, e.g. chapters, sections or page numbers; Identifying elements of the document, e.g. authors
• G06Q 20/04 - Payment circuits
• G06Q 30/012 - Providing warranty services
• G06Q 30/04 - Billing or invoicing
• G06V 30/41 - Analysis of document content
• G06V 30/413 - Classification of content, e.g. text, photographs or tables
• G06V 30/414 - Extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics or text

Abstract

The present disclosure is directed to systems and methods for analyzing digital images to determine alphanumeric strings depicted in the digital images. An electronic device may generate a set of filtered images using a received digital image. The electronic device may also perform an optical character recognition (OCR) technique on the set of filtered images, and may filter out any of the set of filtered images according to a set of rules. The electronic device may further identify a set of common elements representative of the alphanumeric string depicted in the digital image, and determine a machine-encoded alphanumeric string based on the set of common elements

IPC Classes  ?

• G06V 30/196 - Recognition using electronic means using sequential comparisons of the image signals with a plurality of references
• G06F 18/21 - Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
• G06F 18/25 - Fusion techniques
• G06V 30/19 - Recognition using electronic means
• G06V 30/262 - Techniques for post-processing, e.g. correcting the recognition result using context analysis, e.g. lexical, syntactic or semantic context

Abstract

The following relates generally to providing a virtual insurance kiosk within a virtual environment. In some embodiments, an insurance server receives authentication credentials of a user device attempting to interact with the virtual insurance kiosk. The insurance server may authenticate the user device and establish a secure connection to the user device. The insurance server may then provide an insurance service to the user device. The following also relates generally to providing a secure virtual mall within a virtual environment. In some embodiments, a mall server receives authentication credentials from a user device and/or a vender server. The mall server may then authenticate the user to establish secure connection(s) to the user device and/or vender server. The mall server may process transactions between the user device and vender server, such as by underwriting insurance products related to the transactions.

IPC Classes  ?

• G06Q 30/0601 - Electronic shopping [e-shopping]
• G06F 21/31 - User authentication
• G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
• G06Q 40/08 - Insurance

Abstract

The present techniques relate to, inter alia, cryptographically-verifiable insurance credentials and cryptographically-verifiable property transfer. The novel methods and systems of decentralized identity discussed herein improve user experience (whether individual or organizational) by moving control over identity from the hands of centralized entities, back to where it belongs—i.e., to the hands of individual organizations and users. In one aspect, a method includes obtaining a scanned image; processing the scanned image; transmitting a claim request; and receiving and storing an attestation response, and a computing system includes a processor; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to: receive a claim request; cryptographically verify the claim; and transmit an attestation response.

IPC Classes  ?

• H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
• G06F 16/955 - Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
• G06K 7/14 - Methods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
• G06Q 20/36 - Payment architectures, schemes or protocols characterised by the use of specific devices using electronic wallets or electronic money safes
• G06Q 40/08 - Insurance

Abstract

A technique is provided for determining a loss risk assessment score for a vehicle trip. The technique includes, at a vehicle, a computing device receiving first information indicative of operation of the vehicle. The technique also includes, at the vehicle, the computing device receiving second information indicative of an environment at a particular location and time. The computing device correlates the first information and the second information to generate a data set. The technique also includes determining a score for the vehicle trip based at least in part upon the generated data set.

IPC Classes  ?

• H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

A computer system includes a multimodal server and an audio handler. The audio handler is programmed to: (1) receive, from the user computer device via the multimodal server, a verbal statement of a user including a plurality of words; (2) translate the verbal statement into text; (3) select a bot to analyze the translated text; (4) generate an audio response from a text response provided by executing the bot selected for the translated text to generate the text response, wherein the audio response is a response to the user; and (5) transmit the audio response to the multimodal server. The multimodal server is programmed to: (1) receive the audio response to the user's verbal statement from the audio handler; (2) enhance the audio response; and (3) cause the enhanced audio response to be communicated to the enhanced response to the user via the user computer device.

IPC Classes  ?

• G06F 40/58 - Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation

Abstract

A virtual environment may be provided, the virtual environment including a procedurally generated virtual landscape. The virtual landscape may include various components, such as natural terrain elements, infrastructural elements, and residential/commercial properties, that are automatically generated based upon procedural rules so as to provide uniqueness of any one virtual landscape. A user may enter the virtual environment and, via various virtual tools, identify aspects of the generated virtual landscape that affect risk to one or more of the properties therein.

IPC Classes  ?

• G09B 5/12 - Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations different stations being capable of presenting different information simultaneously
• G06Q 40/08 - Insurance
• G06T 15/00 - 3D [Three Dimensional] image rendering
• G06T 19/00 - Manipulating 3D models or images for computer graphics

Abstract

Apparatuses, systems and methods are provided for performing insurance property loss mitigation processes based on an event driven probable roof loss confidence score based on a particular weather event, the event driven probable roof loss confidence score associated with a roof of a building. An example method may include receiving a base-line probable roof loss confidence score for the building. The method may further include receiving weather data associated with the particular weather event, that occurred in the geographic area of the building, and hail data associated with the particular weather event. The method also may include estimating at least one attribute of the one or more attributes, and generating the event driven probable roof loss confidence score based on the base-line probable roof loss confidence score, the weather data, the hail data, and the at least one estimated attribute.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G01W 1/14 - Rainfall or precipitation gauges
• G06N 7/01 - Probabilistic graphical models, e.g. probabilistic networks
• G06Q 10/10 - Office automation; Time management

Abstract

Systems and methods are disclosed for enhancing and developing a damage scene virtual reality (VR) visualization. Annotated immersive multimedia image(s) may be received from a first user, where the annotated immersive multimedia image(s) can be associated with a damage scene. A VR visualization of the annotated immersive multimedia image(s) may be rendered using a VR device associated with a second user. The VR visualization may be used to determine a damage amount, where the damage amount is determined from one or more damaged items identifiable in the annotated immersive multimedia image(s).

IPC Classes  ?

• G06T 19/00 - Manipulating 3D models or images for computer graphics
• G06F 40/169 - Annotation, e.g. comment data or footnotes
• G06Q 40/08 - Insurance
• G06T 11/00 - 2D [Two Dimensional] image generation
• H04L 67/025 - Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications

Abstract

A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified. The identified damage or defect may be compared to a claimed damage or defect to determine whether the claimed damage or defect occurred.

IPC Classes  ?

• G06T 7/00 - Image analysis
• B64C 39/02 - Aircraft not otherwise provided for characterised by special use
• G05D 1/00 - Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot
• G06N 20/00 - Machine learning
• G06Q 10/1093 - Calendar-based scheduling for persons or groups
• G06Q 10/20 - Administration of product repair or maintenance
• G06Q 30/0283 - Price estimation or determination
• G06Q 30/0601 - Electronic shopping [e-shopping]
• G06Q 40/08 - Insurance
• G07C 5/00 - Registering or indicating the working of vehicles
• G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time

Abstract

A system and computer-implemented method detect and act upon operator reliance to vehicle alerts. The system and method include receiving user profile data of an operator that includes a baseline of at least one driving activity aided by activation of an alert from a feature of an Advanced Driver Assistance System (ADAS). The system and method may include receiving historical ADAS alert frequency data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the user profile data with the historical ADAS alert frequency data, determine a reliance level based upon the comparing, and set at least a portion of an operator profile associated with the operator with the reliance level. As a result, a risk averse driver, and/or proper responsiveness to vehicle alerts may be rewarded with insurance-cost savings, such as increased discounts.

IPC Classes  ?

• G06Q 40/08 - Insurance

Abstract

Example methods, apparatus, and articles of manufacture to process insurance claims using artificial intelligence are disclosed herein. An example computer-implemented method, executed by a processor, to process an insurance claim using artificial intelligence includes interacting, with the processor, electronically with at least one of an insured person, a representative of the insured person, or a representative of an insured entity to obtain information related to an insurance claim, processing, with the processor, the information with a machine learning engine to identify an action to be taken for the insurance, and performing, with the processor, the action using a backend processing module that is also used by a person to process an insurance claim.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G06F 40/30 - Semantic analysis
• G06N 20/00 - Machine learning
• G06Q 10/10 - Office automation; Time management

Abstract

Systems and methods relating to improving the experience of gig-economy workers are disclosed, with particular reference to gig-economy work involving vehicle use. During or after performance of gig-economy work, data automatically collected may be used to generate and present recommendations or education points to gig-economy workers. Such recommendations may include targeted alerts to notify gig-economy workers of high-demand situations or to coordinate between gig-economy workers and gig-economy customers. Alerts may be generated based upon current excess demand for gig-economy services, as well as gig-economy worker availability and preferences. For example, alerts may be generated in response to detecting emergency conditions in an area in order to mobilize a large number of gig-economy transportation service providers.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G01C 21/34 - Route searching; Route guidance
• G01C 21/36 - Input/output arrangements for on-board computers
• G06Q 10/02 - Reservations, e.g. for tickets, services or events
• G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
• G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
• G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists
• G06Q 30/0207 - Discounts or incentives, e.g. coupons or rebates
• G06Q 50/30 - Transportation; Communications
• G08G 1/00 - Traffic control systems for road vehicles

Abstract

Systems and methods are provided for controlling operation of a vehicle. An example system for controlling operation of a vehicle includes one or more data collection components and one or more processors. The one or more data collection components are configured to collect data representative of a physical configuration of an interior vehicle component. The one or more processors are configured to access the collected data, determine, by processing the collected data, the physical configuration of the interior vehicle component, select a manner of operation based upon the determined physical configuration of the interior vehicle component, and cause the vehicle to operate according to the manner of operation.

IPC Classes  ?

• B60W 50/00 - CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT - Details of control systems for road vehicle drive control not related to the control of a particular sub-unit

Abstract

A multi-mode conversational computer system for implementing multiple simultaneous, nearly simultaneous, or semi-simultaneous conversations and/or exchanges of information or receipt of user input includes at least one processor and/or transceiver in communication with at least one memory device; a voice bot configured to accept user voice input and provide voice output; and/or at least one input and output communication channel. The at least one input and output communication channel is configured to communicate with the user via a first channel of the at least one input and output communication channel and the voice bot simultaneously, nearly simultaneously, or nearly at the same time.

IPC Classes  ?

• H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
• G06F 3/041 - Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
• G06Q 40/08 - Insurance
• G10L 13/027 - Concept to speech synthesisers; Generation of natural phrases from machine-based concepts
• G10L 15/18 - Speech classification or search using natural language modelling
• G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
• G10L 15/26 - Speech to text systems

Abstract

A method and system may use computer vision techniques and machine learning analysis to automatically identify a user's biometric characteristics. A user's client computing device may capture a video of the user. Feature data and movement data may be extracted from the video and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.

IPC Classes  ?

• G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
• G06T 7/00 - Image analysis
• G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
• G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
• G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

Abstract

Embodiments described herein generate a first set of prompts, the first set of prompts configured to prompt a vehicle owner for a first set of answers used to learn preferred vehicle renter characteristics; receive the first set of answers; generate, based upon the first set of answers, a second set of prompts, the second set of prompts configured to prompt the owner for a second set of answers used to learn additional preferred vehicle renter characteristics; receive the second set of answers; predict user preference value(s) of a profile of the owner based upon the second set of answers, wherein the user preference value(s) define criteria for sharing a vehicle associated with the profile with vehicle renters who satisfy the criteria; apply the criteria to potential vehicle renters; and cause an indication of the vehicle to be displayed only to the potential vehicle renters who satisfy the criteria.

IPC Classes  ?

• G06Q 30/0202 - Market predictions or forecasting for commercial activities
• G06Q 30/0645 - Rental transactions; Leasing transactions
• G06Q 50/30 - Transportation; Communications

Abstract

Techniques described herein relate to message distribution in a contact center. Messages generated by an administrator and/or by a trained model processing data from customer interactions with the contact center are stored in a message queue. A desktop application running on a representative device and hosted by the contact center queries the message queue for messages intended for a representative using the representative device. Messages intended for the representative are automatically displayed on the representative device, e.g., on the desktop.

IPC Classes  ?

• H04L 51/06 - Message adaptation to terminal or network requirements
• G06F 9/54 - Interprogram communication
• G06N 20/00 - Machine learning
• H04L 51/222 - Monitoring or handling of messages using geographical location information, e.g. messages transmitted or received in proximity of a certain spot or area
• H04L 67/1001 - Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers

Abstract

Methods and systems for analyzing vehicle operation data associated with a temporary or periodic usage of a vehicle by a driver. In aspects, the vehicle operation data may be analyzed to assess a performance of the driver during operation of the vehicle. Based on the performance of the driver, the driver may qualify for a reward.

IPC Classes  ?

• G06Q 30/0207 - Discounts or incentives, e.g. coupons or rebates
• B60W 40/09 - Driving style or behaviour
• G06Q 30/0208 - Trade or exchange of goods or services in exchange for incentives or rewards
• G06Q 40/08 - Insurance
• G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time

Abstract

An incident management system for managing an incident response may be provided. The incident management system may include an incident management (IM) computing device and a vehicle. The IM computing device may include a processor and memory, the processor may be programmed to receive a notification that an incident has occurred, the notification including sensor data and sub-system data. The processor may analyze the data to determine an incident response, the determination including categorizing the incident based on damage determined from the data. The processor may also identify a responding party based on the incident response and the category of the incident. The processor may further parse the data to generate a set of critical data. The critical data may be based on the responding party. The processor may transmit a message to the responding party including the critical data and the location of the vehicle.

IPC Classes  ?

• G07C 5/00 - Registering or indicating the working of vehicles
• G05D 1/00 - Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot
• G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time

Abstract

Embodiments described herein, inter alia, receive telematics data collected over a period of time, wherein the telematics data is indicative of operation of a vehicle by a potential renter during the period of time; identify, upon analyzing the telematics data, driving behavior(s) of the renter during the period of time; determine, for each driving behavior, a corresponding state of an environment of the vehicle when the driving behavior occurred; determine renter eligibility value(s) for the renter based on the driving behavior(s) and the corresponding state of an environment of the vehicle; compare the renter eligibility value(s) to user preference value(s) of a profile of a vehicle owner, wherein the user preference value(s) define one or more criteria for vehicle renters with whom the vehicle can be shared; and cause an indication of the vehicle associated with the profile to be displayed only if the renter satisfies the criteria.

IPC Classes  ?

• G06Q 30/0645 - Rental transactions; Leasing transactions
• B60W 40/04 - Traffic conditions
• B60W 40/06 - Road conditions
• B60W 40/09 - Driving style or behaviour

Abstract

During a communication session with a caller, a representative can enter information into a claim loss reporting tool to generate a loss report associated with an insurance claim. A dialogue advisor can cause the claim loss reporting tool to suggest questions that the representative should ask, and/or actions the representative should take, during the communication session. The dialogue advisor can make such suggestions, during the communication session, based at least in part on confidence levels of simulated destination predictions that correspond with destination predictions a claim router would make according to the same information associated with the loss report.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G06N 5/04 - Inference or reasoning models
• G06N 20/00 - Machine learning
• G06Q 10/10 - Office automation; Time management
• G06Q 30/016 - After-sales
• G06F 3/0483 - Interaction with page-structured environments, e.g. book metaphor
• G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range

Abstract

Systems and methods are described for generating a blockchain-based user profile. In various aspects, one or more blockchain IDs associated with a user is received, where each blockchain ID is associated with a corresponding blockchain. One or more blockchain transactions are identified that are associated with the one or more blockchain IDs, where a trust profile for the user can be generated based on the one or more blockchain transactions. The trust profile can include user information determined from the one or more blockchain transactions.

IPC Classes  ?

• H04L 29/06 - Communication control; Communication processing characterised by a protocol
• H04L 9/06 - Arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
• G06Q 20/38 - Payment architectures, schemes or protocols - Details thereof
• G06Q 20/06 - Private payment circuits, e.g. involving electronic currency used only among participants of a common payment scheme
• H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
• H04L 9/30 - Public key, i.e. encryption algorithm being computationally infeasible to invert and users' encryption keys not requiring secrecy
• H04L 9/14 - Arrangements for secret or secure communications; Network security protocols using a plurality of keys or algorithms

Abstract

Systems and methods are described for facilitating a zero-trust index mutual aid on a distributed ledger. The method may include: (1) receiving weather data at the distributed ledger; (2) detecting, based at least upon the weather data, that a trigger for a parametric event is met for a first subset of a plurality of users; (3) retrieving, responsive to the detecting, payment from a second subset of the plurality of users in accordance with a smart contract stored on the distributed ledger; (4) allocating the payment from the second subset of the plurality of users into respective allocated payments in accordance with the smart contract; and (5) causing the first subset of the plurality of users to receive the respective allocated payments in accordance with the smart contract.

IPC Classes  ?

• G06Q 30/06 - Buying, selling or leasing transactions
• H04L 9/00 - Arrangements for secret or secure communications; Network security protocols

Abstract

Techniques for using connected vehicles as secondary data sources to confirm weather data and other triggering events are provided, including (1) determining indication of a weather event associated with a location of interest; (2) receiving indications of location data captured by location sensors associated with vehicles (such as vehicle-mounted sensors and/or mobile devices, virtual headsets, or wearables of passengers); (3) comparing the location data captured by the location sensors to a location of interest in order to identify one or more vehicles within a proximity of the location of interest; (4) receiving environmental sensor data captured by environmental sensors associated with one or more of the identified vehicles; and (5) determining, based upon the environmental sensor data captured by the environmental sensors associated with the one or more of the identified vehicles, an indication of an accuracy of the indication of the weather event associated with the location of interest.

IPC Classes  ?

• B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
• G07C 5/00 - Registering or indicating the working of vehicles

Abstract

Techniques for using connected vehicles as secondary data sources to confirm weather data and other triggering crop-damaging events associated with agriculture and agribusinesses, and mitigation techniques associated therewith are provided, including (1) determining indication of a weather event associated with a location of interest; (2) determining possible mitigation techniques for mitigating damage caused by the weather event; (3) receiving indications of location data associated with vehicles/passengers; (4) comparing the location data to a location of interest in order to identify vehicles/passengers within a proximity of the location of interest; (5) receiving sensor data captured by sensors associated with the identified vehicles; and (6) determining, based upon the sensor data captured by the sensors associated with the identified vehicles over a period of time, whether any of the possible mitigation techniques have been performed at the location of interest over the period of time.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G06V 20/56 - Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
• G06V 20/10 - Terrestrial scenes

Abstract

A method and system provide areas with lifestyle preferences selected by a user. Generally, a computing device receives a selection of one or more lifestyle preferences from the user. In response to the selected lifestyle preferences, a visual display of one or more areas of a geographic map that includes one or more of the lifestyle preferences that favorably compare to the lifestyle preferences of the user is presented to the user via a user interface of the computing device. Additionally, the user may submit a review of the lifestyle preferences available in a particular location.

IPC Classes  ?

• G06F 16/29 - Geographical information databases
• G06F 16/2457 - Query processing with adaptation to user needs
• H04W 4/021 - Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• G06Q 50/16 - Real estate
• G06F 3/0482 - Interaction with lists of selectable items, e.g. menus

Abstract

A user analytics computing device for processing vehicle-based telematics data and generating user offerings responsive to the vehicle-based telematics data includes at least one processor in communication with a memory device. The processor is programmed to: (i) receive, from a vehicle computing device, telematics data associated with a plurality of trips taken by a first driver using a first vehicle, (ii) generate a driver profile of the first driver based at least in part upon the telematics data, (iii) access, from the memory device, contextual data associated with an environment in which the first vehicle travelled during the plurality of trips, (iv) synthesize the driver profile and the contextual data to generate a contextualized driver profile, (v) based upon the contextualized driver profile, generate a user offering to influence the driver profile, and (vi) transmit the user offering to a user computing device associated with the first driver.

IPC Classes  ?

• G01C 21/34 - Route searching; Route guidance
• G06N 20/00 - Machine learning
• G06N 5/04 - Inference or reasoning models
• G01C 21/36 - Input/output arrangements for on-board computers

Abstract

Systems and methods are described for performing analysis of parametric events. The method may include: (1) receiving weather data from a weather oracle network; (2) calculating, using a first trained machine learning algorithm, a likelihood of a trigger activation for a parametric event (or a trigger event) for a user based at least upon the weather data; (3) calculating, using a second trained machine learning algorithm, an estimated loss for the user based at least upon the likelihood of the trigger activation; (4) determining an initial coverage for the user; and (5) determining whether to offer the user updated coverage for the parametric event based at least upon a comparison of the initial coverage and the estimated loss for the user.

IPC Classes  ?

• G06Q 40/08 - Insurance

Abstract

Systems and methods for transferring autonomous driving preferences between vehicles are provided. For example, a vehicle operator may borrow a friend's or spouse's vehicle, or may rent a vehicle, and may wish to transfer his or her autonomous driving preferences to the vehicle he or she is currently operating. An autonomous driving preference associated with an operator of a first vehicle is obtained. The autonomous driving preference includes vehicle controls that the operator prefers to be operated autonomously, semi-autonomously, and/or manually. When the operator of the first vehicle is to operate a second vehicle or is currently operating a second vehicle, an indication of the autonomous driving preference associated with the operator is transmitted to the second vehicle, and the vehicle controls associated with the second vehicle are modified based on the autonomous driving preference associated with the operator.

IPC Classes  ?

• B60W 50/00 - CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT - Details of control systems for road vehicle drive control not related to the control of a particular sub-unit
• B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention

Abstract

The following generally relates to using Augmented Reality (AR) to enhance the in-vehicle experience. In some examples, AR techniques are applied to provide AR indications of vehicle safety indicia to alert vehicle occupants to information that may not otherwise be perceptible. In other example, AR techniques are applied to provide emergency vehicle warnings to improve the likelihood of safe responses thereto. In yet other examples, AR techniques are applied to generated personalized outdoor displays, for example, to ameliorate conditions that may impair safe operation of a vehicle.

IPC Classes  ?

• B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
• B60W 40/02 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to ambient conditions
• B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
• B60K 35/00 - Arrangement or adaptations of instruments
• G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
• G01S 1/04 - Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmitters; Receivers co-operating therewith using radio waves - Details

Abstract

The following generally relates to using Augmented Reality (AR) to enhance the in-vehicle experience. In some examples, AR techniques are applied to provide AR indications of vehicle safety indicia to alert vehicle occupants to information that may not otherwise be perceptible. In other example, AR techniques are applied to provide emergency vehicle warnings to improve the likelihood of safe responses thereto. In yet other examples, AR techniques are applied to generated personalized outdoor displays, for example, to ameliorate conditions that may impair safe operation of a vehicle.

IPC Classes  ?

• B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
• B60W 40/04 - Traffic conditions
• B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
• B60K 35/00 - Arrangement or adaptations of instruments
• G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions

Abstract

The following generally relates to using Augmented Reality (AR) to enhance pedestrian navigation. In some examples, AR techniques are applied to provide AR indications of a location of a group member that includes two or more AR devices. In these examples, AR techniques may be applied to determine a relative position of the group member and/or provide navigational guidance to the group member. In other examples, AR techniques are applied to provide AR-assisted pedestrian guidance. In these examples, AR techniques may be applied to present an AR display that includes information for a point of interest along a route.

IPC Classes  ?

• G06V 20/20 - Scenes; Scene-specific elements in augmented reality scenes
• G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
• G06T 11/00 - 2D [Two Dimensional] image generation
• H04N 7/22 - Adaptations for optical transmission
• H04B 10/116 - Visible light communication
• G01C 21/36 - Input/output arrangements for on-board computers

Abstract

Described herein are techniques to facilitate vehicular incident reenactment using three-dimensional (3D) representations. The techniques include presenting an image including 3D representations of one vehicle and one non-vehicular object related to a vehicular incident. The operations further include providing a message that requests manipulation of the 3D representations to reenact the vehicular incident. The operations further include receiving input and generating a 3D reenactment of the vehicular incident that includes the 3D representations of the at least one vehicle and at least one non-vehicular object.

IPC Classes  ?

• G06F 3/04815 - Interaction with a metaphor-based environment or interaction object displayed as three-dimensional, e.g. changing the user viewpoint with respect to the environment or object
• G06T 19/00 - Manipulating 3D models or images for computer graphics

Abstract

The following generally relates to using Augmented Reality (AR) to enhance the in-vehicle experience. In some examples, AR techniques are applied to provide AR indications of vehicle safety indicia to alert vehicle occupants to information that may not otherwise be perceptible. In other example, AR techniques are applied to provide emergency vehicle warnings to improve the likelihood of safe responses thereto. In yet other examples, AR techniques are applied to generated personalized outdoor displays, for example, to ameliorate conditions that may impair safe operation of a vehicle.

IPC Classes  ?

• G06T 19/00 - Manipulating 3D models or images for computer graphics
• G02B 27/01 - Head-up displays

Abstract

The following generally relates to using Augmented Reality (AR) to enhance pedestrian navigation. In some examples, AR techniques are applied to provide AR indications of a location of a group member that includes two or more AR devices. In these examples, AR techniques may be applied to determine a relative position of the group member and/or provide navigational guidance to the group member. In other examples, AR techniques are applied to provide AR-assisted pedestrian guidance. In these examples, AR techniques may be applied to present an AR display that includes information for a point of interest along a route.

IPC Classes  ?

• G01C 21/36 - Input/output arrangements for on-board computers
• G01C 21/34 - Route searching; Route guidance

Abstract

The following relates generally to using augmented reality (AR) for inspection of a property. In some examples, underlay layer data may be received (e.g., from a camera of an AR viewer device); and overlay layer data may be received (e.g., from a different camera or other overlay layer device). An AR display may be created by correlating the underlay layer data with the overlay layer data. A property inspection indicia may be identified based upon the correlated overlay layer data.

IPC Classes  ?

• G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
• G06T 7/00 - Image analysis
• G06T 15/20 - Perspective computation
• G06T 19/00 - Manipulating 3D models or images for computer graphics
• G06Q 50/16 - Real estate
• G06N 20/00 - Machine learning

Abstract

In one aspect, a computer system for vehicle configuration verification, and/or detecting unauthorized vehicle modification may be provided. In some exemplary embodiments, the computer system may include a processor and a non-transitory, tangible, computer-readable storage medium having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations including: (1) receiving a vehicle image, including a vehicle identifier and at least one software module; (2) calculating a configuration hash value of the at least one software module; generating a first data block including the configuration hash value, a first index value, the vehicle identifier, and a digital signature; (3) storing the first data block in a memory; and/or (4) transmitting the first data block to any number of network participants using a distributed network to facilitate vehicle software configuration verification.

IPC Classes  ?

• H04L 67/00 - Network arrangements or protocols for supporting network services or applications
• H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• H04W 4/40 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
• H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
• B60W 50/02 - Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures
• B60W 50/04 - Monitoring the functioning of the control system
• G05D 1/00 - Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot
• B60W 50/029 - Adapting to failures or work around with other constraints, e.g. circumvention by avoiding use of failed parts
• G05D 1/02 - Control of position or course in two dimensions
• G06F 21/54 - Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems during program execution, e.g. stack integrity, buffer overflow or preventing unwanted data erasure by adding security routines or objects to programs
• H04W 12/06 - Authentication
• H04W 12/30 - Security of mobile devices; Security of mobile applications
• G07C 5/00 - Registering or indicating the working of vehicles
• H04L 9/06 - Arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems

Abstract

The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives LIDAR data generated from a LIDAR camera; measures a plurality of dimensions of a landscape based upon processor analysis of the LIDAR data; builds a 3D model of the landscape based upon the measured plurality of dimensions, the 3D model including: (i) a structure, and (ii) a vegetation; and displays a representation of the 3D model.

IPC Classes  ?

• G06T 17/00 - 3D modelling for computer graphics
• G06T 17/05 - Geographic models
• G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging
• G06F 16/29 - Geographical information databases
• G06N 3/049 - Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
• G06N 3/08 - Learning methods
• B64C 39/02 - Aircraft not otherwise provided for characterised by special use
• B64U 101/30 - UAVs specially adapted for particular uses or applications for imaging, photography or videography

Abstract

Described herein are systems and techniques to facilitate rapid and effective notification of issues that may affect services and applications configured at a cloud-based system. A service monitoring system may be queried regularly for status data for services operating in a cloud-based system. The service status data received in response may be compared to previously stored service status data to identify new and changed issues. Based on the types of issues identified, urgent and/or non-urgent notifications may be generated and transmitted to the users associated with the affected service and/or other parameters using multiple communications channels. Responsive failover actions may also be implemented based on the detected issue and the impacted service.

IPC Classes  ?

• H04L 41/50 - Network service management, e.g. ensuring proper service fulfilment according to agreements
• H04L 67/51 - Discovery or management thereof, e.g. service location protocol [SLP] or web services
• H04L 41/5009 - Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
• H04L 67/10 - Protocols in which an application is distributed across nodes in the network

Abstract

A computer system including sensor and alternative power technologies for enhancing waste disposal and energy efficiency using is provided. The computer system may be configured to receive waste data and recycling data from at least one sensor located proximate to a waste bin, and determine a level of waste in the waste bin based upon the received waste data, and a level of contamination of the waste bin based upon the received recycling data. The computer system may be also configured to determine whether collection of waste in the waste bin or decontamination of the waste bin is required. The computer system may be further configured to generate an alert including information corresponding collection or decontamination of the waste bin, and transmit the alert to one or more client devices associated with at least one user.

IPC Classes  ?

• B65F 1/00 - Refuse receptacles
• B65F 1/16 - Lids or covers
• B65F 9/00 - Transferring of refuse between vehicles or containers with intermediate storage or pressing
• G06N 20/00 - Machine learning
• G08B 21/18 - Status alarms
• B07C 5/342 - Sorting according to other particular properties according to optical properties, e.g. colour
• H04B 1/38 - Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving
• H04B 1/3827 - Portable transceivers

Abstract

Autonomous vehicle methods and systems are described herein for communicating with an autonomous or semi-autonomous vehicle to remotely control operation of the vehicle, to detect and remove unauthorized passengers, to deliver loads, to receive registration information for the vehicle, to provide accessibility information to the vehicle, and/or to receive sensor or other environmental data to integrate with an electronic game or other extended reality experience.

IPC Classes  ?

• G05D 1/00 - Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot
• G09B 9/052 - Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles characterised by provision for recording or measuring trainee's performance
• G09B 9/042 - Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles providing simulation in a real vehicle
• G06T 19/00 - Manipulating 3D models or images for computer graphics
• B60K 35/00 - Arrangement or adaptations of instruments

Abstract

Described herein are methods and systems for generating and applying vehicle maintenance models to vehicle telematics data. A vehicle telematics analytics (VTA) computing device is configured to receive vehicle telematics data associated with operation of a subject vehicle, and apply the received vehicle telematics data to a vehicle maintenance model to determine whether the operation of the subject vehicle is better or worse than standard operation of like vehicles. The VTA computing device may adjust a maintenance cost and/or determine if a user of the vehicle is eligible for a reward based upon this determination. The VTA computing device is configured to transmit an itemized report to the user including the adjusted maintenance cost and/or the reward as well as one or more other vehicle costs.

IPC Classes  ?

• G06Q 10/20 - Administration of product repair or maintenance
• G07C 5/00 - Registering or indicating the working of vehicles

Abstract

Methods and systems for maintaining and building an autonomous vehicle-related event blockchain are provided. One or more processors may receive indications of autonomous vehicle events. The autonomous vehicle events may include information relating to technology usage and/or operational events. The autonomous vehicle events may be compiled into a log of recorded autonomous vehicle events. Based upon the autonomous vehicle events, an action to implement may be determined. Additionally, the log may be distributed to a public or private network of distributed nodes to form a consensus on an update to the log of record autonomous vehicle events. As a result, the distributed nodes may maintain an up-to-date record of the shared ledger of autonomous vehicle events.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G07C 5/02 - Registering or indicating driving, working, idle, or waiting time only
• G07C 5/00 - Registering or indicating the working of vehicles
• G05D 1/00 - Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot

Abstract

A computer-implemented method for generating an indication of whether a vehicle crash has occurred is presented. It may be determined whether data output by a base sensor(s) of a mobile computing device indicates that a vehicle crash condition has occurred. An additional sensor(s) of the mobile computing device may begin outputting additional sensor data when the data output by the base sensor(s) indicates that the vehicle crash condition has occurred. The additional sensor(s) may be caused to output the additional sensor data for an amount of time after the additional sensor(s) begins outputting the additional sensor data. An indication of whether a crash of a vehicle has occurred may be generated based on the additional sensor data output by the additional sensor(s) for the amount of time after the additional sensor(s) begins outputting the additional sensor data.

IPC Classes  ?

• G06Q 40/08 - Insurance
• H04M 1/72412 - User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories using two-way short-range wireless interfaces
• G08B 5/22 - Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electromagnetic transmission
• H04W 4/02 - Services making use of location information
• G07C 5/00 - Registering or indicating the working of vehicles

Abstract

A computer-implemented method of assessing driver capability for operating an autonomous vehicle includes identifying a human operator of the autonomous vehicle, the human operator being associated with a driving capability profile. The method further includes signaling to the human operator with the signal, the signal requesting a response from the human operator. The method also includes updating, based on the response from the human operator to the signal, the driving capability profile to indicate a level of skill of the human operator at responding to the signal.

IPC Classes  ?

• B60W 40/09 - Driving style or behaviour
• B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
• B60W 50/12 - Limiting control by the driver depending on vehicle state, e.g. interlocking means for the control input for preventing unsafe operation
• G06Q 40/08 - Insurance
• G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions

Abstract

Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

IPC Classes  ?

• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G06F 3/16 - Sound input; Sound output
• H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages

Abstract

Users may engage in a target user activity via digital systems, such as a website, and/or non-digital systems. Users may user various digital channels to arrive at the digital systems or non-digital systems. Users may also arrive at digital systems, such as the website, via different entry pages. A propensity analyzer can, based on activity data associated with users, determine propensities of one or more of the digital channels, digital systems, non-digital channels, and/or entry pages to drive users to perform a target user activity. The propensity analyzer can generate recommendations for revising digital channels, digital systems, non-digital channels, and/or entry pages to increase their propensities to drive users to perform the target user activity.

IPC Classes  ?

• G06Q 30/0203 - Market surveys; Market polls
• G06N 20/00 - Machine learning
• H04L 67/50 - Network services
• G06F 16/9535 - Search customisation based on user profiles and personalisation
• G06F 16/955 - Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
• G06F 16/958 - Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
• G06N 5/04 - Inference or reasoning models

Abstract

Provided herein is a care coordination support platform (“CCSP”) computer system including a in communication with a memory device for coordinating care. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver through the application, (iii) receive input from the user or the caregiver defining an event of the user, (iv) assign the event to a caregiver based upon personal and scheduling data of the caregivers, (v) create a care schedule of the user, (vi) display the care schedule to the caregiver, (vii) receive a question regarding the from the user or the caregiver, (viii) convert the question into a query, (ix) run the query against an event database, and (x) transmit a response to the question to the processor.

IPC Classes  ?

• G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
• H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
• G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
• G10L 15/18 - Speech classification or search using natural language modelling
• G06Q 10/1093 - Calendar-based scheduling for persons or groups
• G10L 15/30 - Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• G06Q 10/20 - Administration of product repair or maintenance
• G06F 16/2452 - Query translation
• G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
• G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives light detection and ranging (LIDAR) data generated from a LIDAR camera; receives preexisting utility line data; and determines a location of the utility line based upon: (i) the received LIDAR data, and (ii) the received preexisting utility line data.

IPC Classes  ?

• G06T 19/00 - Manipulating 3D models or images for computer graphics
• G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods

Abstract

In association with unit and integration testing of a software application, a test conflict guard can detect whether test cases are independent and use distinct database data, or are related or dependent test cases that use the same database data. The test conflict guard can detect any related or dependent test cases in a group of test cases, which may cause testing errors if executed in different parallel threads. The test conflict guard can accordingly block test execution until the group of test cases are verified as independent test cases.

IPC Classes  ?

• G06F 11/36 - Preventing errors by testing or debugging of software
• G06F 8/41 - Compilation
• G06F 8/70 - Software maintenance or management

Abstract

Provided herein is a care coordination support platform (“CCSP”) computer system including a in communication with a memory device for coordinating care. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver through the application, (iii) receive input from the user or the caregiver defining an event of the user, (iv) assign the event to a caregiver based upon personal and scheduling data of the caregivers, (v) create a care schedule of the user, (vi) display the care schedule to the caregiver, (vii) receive a question regarding the from the user or the caregiver, (viii) convert the question into a query, (ix) run the query against an event database, and (x) transmit a response to the question to the processor.

IPC Classes  ?

• G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
• G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
• G06Q 10/1093 - Calendar-based scheduling for persons or groups
• G10L 15/18 - Speech classification or search using natural language modelling
• G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
• G10L 15/30 - Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• G06Q 10/20 - Administration of product repair or maintenance
• G06F 16/2452 - Query translation
• G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
• G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

The present disclosure generally relates to systems and methods for generating data representative of multi-product insurance discounts and related user interface displays. The systems and methods may include receiving personal data from an insurance customer and insurance product data. The systems and methods may further include generating data representative of multi-product insurance discounts based on personal data from an insurance customer and insurance product data. The systems and methods may further include generating displays of the multi-product discounts based on data representative of multi-product insurance discounts.

IPC Classes  ?

• G06Q 40/00 - Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• G06Q 40/08 - Insurance
• G06Q 30/0207 - Discounts or incentives, e.g. coupons or rebates

Abstract

Provided herein is a care coordination support platform (“CCSP”) computer system including a in communication with a memory device for coordinating care. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver through the application, (iii) receive input from the user or the caregiver defining an event of the user, (iv) assign the event to a caregiver based upon personal and scheduling data of the caregivers, (v) create a care schedule of the user, (vi) display the care schedule to the caregiver, (vii) receive a question regarding the from the user or the caregiver, (viii) convert the question into a query, (ix) run the query against an event database, and (x) transmit a response to the question to the processor.

IPC Classes  ?

• G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• G06Q 10/1093 - Calendar-based scheduling for persons or groups
• G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
• G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
• G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
• G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G06Q 10/20 - Administration of product repair or maintenance
• G06F 16/2452 - Query translation
• H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
• G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
• G10L 15/18 - Speech classification or search using natural language modelling
• G10L 15/30 - Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• G06Q 30/0207 - Discounts or incentives, e.g. coupons or rebates

Abstract

Techniques described herein relate to a client application framework for a contact center environment. A role-specific thick client framework may include a web browser-based, desktop application having multiple processes that can be distributed across the computing infrastructure of the client device. A portion of the framework may include a container application image received from an internal server of the contact center and launched by the client device. The desktop application may collect data associated with use of the container application image and transmit the collected data to a contact center server. The contact center server may process the data, in some instances along with data from additional desktop applications on additional client devices, to implement one or more integrated models across the contact center environment.

IPC Classes  ?

• H04M 3/00 - Automatic or semi-automatic exchanges
• H04M 3/51 - Centralised call answering arrangements requiring operator intervention
• G06Q 30/016 - After-sales
• G06Q 10/10 - Office automation; Time management
• G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
• G06Q 10/0639 - Performance analysis of employees; Performance analysis of enterprise or organisation operations
• G06F 9/54 - Interprogram communication
• H04L 9/40 - Network security protocols
• G06N 20/00 - Machine learning
• G06Q 50/20 - Education

Abstract

A software project management system can store object data about components of a software development project, such epics, features, and stories. The software project management system can also store dependency objects that reflect dependency relationships between two or more components of the software development project. The dependency objects can track status information about the dependency relationships, including expected completion dates, acceptance criteria, and state indicators. The information stored in the dependency objects can be updated over time as information about the dependency relationship changes. The software project management system can also use the dependency objects to display information in a user interface about one or more dependency relationships, such as to indicate which dependency relationships are on track or behind schedule.

IPC Classes  ?

• G06F 8/10 - Requirements analysis; Specification techniques
• G06F 8/41 - Compilation
• G06F 8/75 - Structural analysis for program understanding

Abstract

Computer-implemented methods and computer systems are disclosed herein as implemented by a controller operatively coupled to a network of electric vehicles. The methods and systems include the controller (i) receiving a notification that an electric vehicle is stranded without sufficient power to operate; (ii) receiving information regarding the stranded electric vehicle; (iii) detecting one or more other electric vehicles in a vicinity of the stranded electric vehicle; (iv) receiving information regarding the detected one or more other electric vehicles; and/or (v) determining, based upon the received information, which of the detected one or more other electric vehicles to send a power source request. Alternatively, the notification may indicate that an electric vehicle has a low state of charge (SOC), or is otherwise has a battery in need of being recharged to facilitate the electric vehicle traveling to a destination.

IPC Classes  ?

• B60L 53/36 - Means for automatic or assisted adjustment of the relative position of charging devices and vehicles by positioning the vehicle
• B60L 58/12 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
• B60L 53/30 - Constructional details of charging stations
• B60L 53/62 - Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
• B60L 53/53 - Batteries
• B60L 53/66 - Data transfer between charging stations and vehicles
• G06Q 30/08 - Auctions

Abstract

Methods and systems for maintaining a distributed ledger and/or blockchain of transactions and/or events pertaining to autonomous vehicles and/or smart contracts. An enforcement server may receive indications of transactions and/or events generated by one or more autonomous vehicles. The transactions and/or events may include information relating to a trigger condition and/or a decision condition associated with one or more smart contracts. The enforcement server may route the transaction to the appropriate smart contract to determine whether a trigger condition has been satisfied. When a trigger condition is satisfied, the enforcement server may automatically perform an action to enforce the smart contract and/or update the distributed ledger. In some aspects, the distributed ledger may record events associated with autonomous and semi-autonomous vehicle technology or system usage, including events associated with transitioning between manual and autonomous control, or vice versa, of one or more autonomous or semi-autonomous vehicles.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G07C 5/00 - Registering or indicating the working of vehicles
• G07C 5/02 - Registering or indicating driving, working, idle, or waiting time only
• G05D 1/02 - Control of position or course in two dimensions
• G06Q 50/26 - Government or public services
• H04L 9/06 - Arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems

Abstract

Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle collision, in particular, utilizing evidence oracles as part of the subrogation process. An exemplary embodiment includes receiving recorded data from one or more connected devices at a geographic location; analyzing the recorded data, wherein analyzing the recorded data includes determining that an collision has occurred involving one or more vehicles; generating a transaction including the data indicative of the collision based upon the analysis; and transmitting the transaction to at least one other participant in the distributed ledger network.

IPC Classes  ?

• G06Q 40/08 - Insurance
• H04L 9/06 - Arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
• G06Q 10/10 - Office automation; Time management
• H04L 9/40 - Network security protocols
• H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
• G06F 16/29 - Geographical information databases
• G06F 16/182 - Distributed file systems
• G06F 16/903 - Querying

Abstract

Methods and systems for assigning damage to a property to causes of loss are provided. A smart home controller and/or an insurance provider remote processor (or server) may generate a time sequence of events for damage associated with an insure-related event. The time-sequence of events may be analyzed to identify causes of loss associated with damage to the property. The smart home controller or insurance provider remote processor may further analyze the time-sequence of event to determine a portion of the overall damage associated with each cause of loss. Subsequently, according to certain aspects, the smart home controller or insurance provider remote processor may automatically generate a prepopulated insurance claim for damage associated with the insurance-related event, and/or transmit the automatically prepared insurance claim to an insured for their review, approval, and/or modification, such as via wireless communication to a mobile device associated with the insured.

IPC Classes  ?

• G06Q 40/08 - Insurance
• G06Q 50/16 - Real estate
• G05B 15/02 - Systems controlled by a computer electric
• G06Q 10/10 - Office automation; Time management
• G16Y 10/50 - Finance; Insurance
• E03B 7/07 - Arrangement of devices, e.g. filters, flow controls, measuring devices, siphons, valves, in the pipe systems
• H04L 12/28 - Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
• G08B 21/20 - Status alarms responsive to moisture
• G06Q 30/02 - Marketing; Price estimation or determination; Fundraising

Abstract

Provided herein is a digital care circle platform for electronic communication between a senior and virtual care circle members. The digital care circle platform may include a chatbot and an application associated with the senior, a mobile application associated with the plurality of virtual care circle members, at least one processor in communication with at least one memory device, and one or more servers, sensors, wearables, and transceivers. The at least one processor may be configured to: (i) accept event posts from the senior via the chatbot and application and from each virtual care circle member of the plurality of virtual care circle members via the mobile application, (ii) detect pro-active check-ins from the senior, and (iii) generate, once a pro-active check-in is detected, an electronic communication detailing the pro-active check-in as a pro-active check-in event, and transmit the pro-active check-in event to the virtual care circle members.

IPC Classes  ?

• G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G06F 3/16 - Sound input; Sound output
• H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages