Synchrony Bank

Ujjval Patel

Xiaodan Du

Lucas McDonald

Justin Ruan

Cheng Hang

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.

Systems and methods for machine vision based object recognition

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.

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Stamford, CT, United States of America

Ujjval Patel