Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

Abstract: In one aspect, a distributed ledger system include a first network node configured to detect a triggering condition for processing a claim; collect user and broker information for processing the claim; convert the information from a first computer-readable format to a second computer-readable format; validate the converted information based on corresponding digital signatures; generate claim state objects based on the validated information to be used by each node of the distributed ledger system to execute a smart contract for processing the claim; receive one or more updated claim state objects from a second network node reflecting updated processing status of the claim to be used by each node of the distributed ledger system to execute the smart contract for processing the claim; and process the claim based on results of execution of the smart contract using the one or more updated claim state objects.

Abstract: In one aspect, a distributed ledger system include a first network node configured to detect a triggering condition for processing a claim; collect user and broker information for processing the claim; convert the information from a first computer-readable format to a second computer-readable format; validate the converted information based on corresponding digital signatures; generate claim state objects based on the validated information to be used by each node of the distributed ledger system to execute a smart contract for processing the claim; receive one or more updated claim state objects from a second network node reflecting updated processing status of the claim to be used by each node of the distributed ledger system to execute the smart contract for processing the claim; and process the claim based on results of execution of the smart contract using the one or more updated claim state objects.

Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

Abstract: In one aspect, a distributed ledger system include a first network node configured to detect a triggering condition for processing a claim; collect user and broker information for processing the claim; convert the information from a first computer-readable format to a second computer-readable format; validate the converted information based on corresponding digital signatures; generate claim state objects based on the validated information to be used by each node of the distributed ledger system to execute a smart contract for processing the claim; receive one or more updated claim state objects from a second network node reflecting updated processing status of the claim to be used by each node of the distributed ledger system to execute the smart contract for processing the claim; and process the claim based on results of execution of the smart contract using the one or more updated claim state objects.

Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

Abstract: In one aspect, a distributed ledger system include a first network node configured to detect a triggering condition for processing a claim; collect user and broker information for processing the claim; convert the information from a first computer-readable format to a second computer-readable format; validate the converted information based on corresponding digital signatures; generate claim state objects based on the validated information to be used by each node of the distributed ledger system to execute a smart contract for processing the claim; receive one or more updated claim state objects from a second network node reflecting updated processing status of the claim to be used by each node of the distributed ledger system to execute the smart contract for processing the claim; and process the claim based on results of execution of the smart contract using the one or more updated claim state objects.

Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

Abstract: A framework is provided for an automated and distributed system including onboarding to a network utilizing a digital ledger, payment processing and settlement, and a data marketplace in which users control access to their data. The ledger is stored within a distributed architecture. The ledger includes blocks, wherein a complete copy of the ledger is stored on one or more nodes, and the ledger is capable of verifying the blocks. A credential request is provided that includes information that when received at a first node can be used to perform a credential lookup. A verified, issued credential is received when the credential lookup is successful. The framework allows for generating a zero knowledge proof using the verified, issued credential and for providing the zero knowledge proof. When the zero knowledge proof is received at a second node, the zero knowledge proof can be used to verify a criteria.

Abstract: In one aspect, a distributed ledger system include a first network node configured to detect a triggering condition for processing a claim; collect user and broker information for processing the claim; convert the information from a first computer-readable format to a second computer-readable format; validate the converted information based on corresponding digital signatures; generate claim state objects based on the validated information to be used by each node of the distributed ledger system to execute a smart contract for processing the claim; receive one or more updated claim state objects from a second network node reflecting updated processing status of the claim to be used by each node of the distributed ledger system to execute the smart contract for processing the claim; and process the claim based on results of execution of the smart contract using the one or more updated claim state objects.