Systems and methods for tracking chain of custody of body worn cameras

    公开(公告)号:US11962697B2

    公开(公告)日:2024-04-16

    申请号:US17484712

    申请日:2021-09-24

    CPC classification number: H04L9/32

    Abstract: Disclosed herein are apparatuses and methods for tracking chain of custody of a security camera using blockchain. An implementation may comprise receiving and granting a request for custody of a security camera by a first operator. The implementation further includes generating a block of a blockchain comprising identifiers of the first operator, security camera, and timestamp. The implementation includes distributing the blockchain to a plurality of nodes in a blockchain network. For each indication received of activity associated with usage and custody of the security camera to be recorded on the blockchain, the implementation includes generating a new block on the blockchain recording the activity. The implementation further includes receiving and verifying an authenticity a video clip from the security camera based on each activity recorded in the blockchain. In response to determining that the video clip is not authentic, the implementation includes generating an alert indicating inauthenticity.

    SYSTEMS AND METHODS FOR CLASSIFICATION OF AMBIGUOUS OBJECTS

    公开(公告)号:US20240386708A1

    公开(公告)日:2024-11-21

    申请号:US18320052

    申请日:2023-05-18

    Abstract: Example implementations include a method, apparatus and computer-readable medium for object classification, including executing a multi-class object classification model (OCM) on an input image depicting an object, wherein the multi-class OCM is configured to output, for each respective class of a plurality of classes, a respective confidence score indicative of a likelihood of the object being of a member the respective class. The implementations further include detecting a plurality of confidence scores outputted by the multi-class OCM that are within a threshold range, wherein classes associated with the plurality of confidence scores are candidate classes of the object. Additionally, the implementations further include executing, on the input image, a single-class OCM for each of the candidate classes and outputting a final class for the object in the input image based on a result of each single-class OCM.

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