Event detection based on video metadata
First Claim
Patent Images
1. A system for analyzing video metadata relating to one or more transactions at a point-of-sale (POS) device, the system comprising one or more processors and one or more storage devices cooperating to:
- receive a feed of video metadata containing information about a video stream corresponding to video events occurring at a customer POS region and video events occurring at a cashier POS region;
select and execute one or more of a plurality of metadata analysis techniques on the video metadata to identify the presence or absence of a customer at the customer POS region during a time window corresponding to a return transaction;
wherein the one or more selected and executed metadata analysis techniques include at least an inclusion technique that, for a particular transaction, returns an indication of no fraud if an object present in the video metadata, during the time window associated with the return transaction, is determined to overlap with the customer POS region by more than a predetermined percentage of the customer POS region.
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Abstract
Video data from sources, such as cameras, is analyzed to create metadata descriptive of the events and objects occurring in the video. This metadata, which consists of data about the video, is then analyzed on a transaction basis to determine if a suspicious activity, such as a fraudulent Point of Sale (POS) return event, has occurred in relation to a transaction.
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Citations
14 Claims
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1. A system for analyzing video metadata relating to one or more transactions at a point-of-sale (POS) device, the system comprising one or more processors and one or more storage devices cooperating to:
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receive a feed of video metadata containing information about a video stream corresponding to video events occurring at a customer POS region and video events occurring at a cashier POS region; select and execute one or more of a plurality of metadata analysis techniques on the video metadata to identify the presence or absence of a customer at the customer POS region during a time window corresponding to a return transaction; wherein the one or more selected and executed metadata analysis techniques include at least an inclusion technique that, for a particular transaction, returns an indication of no fraud if an object present in the video metadata, during the time window associated with the return transaction, is determined to overlap with the customer POS region by more than a predetermined percentage of the customer POS region. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for analyzing video metadata relating to one or more transactions at a point-of-sale (POS) device via a system comprising one or more processors and one or more storage devices, the method comprising:
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receiving a feed of video metadata containing information about a video stream corresponding to video events occurring at a customer POS region and video events occurring at a cashier POS region; selecting and executing one or more of a plurality of metadata analysis techniques on the video metadata to identify the presence or absence of a customer at the customer POS region during a time window corresponding to a return transaction; wherein the one or more selected and executed metadata analysis techniques include at least an inclusion technique that, for a particular transaction, returns an indication of no fraud if an object present in the video metadata, during the time window associated with the return transaction, is determined to overlap with the customer POS region by more than a predetermined percentage of the customer POS region. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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Specification