REINFORCEMENT-LEARNING BASED SYSTEM FOR CAMERA PARAMETER TUNING TO IMPROVE ANALYTICS

    公开(公告)号:WO2022256246A1

    公开(公告)日:2022-12-08

    申请号:PCT/US2022/031279

    申请日:2022-05-27

    Abstract: A method for automatically adjusting camera parameters to improve video analytics accuracy during continuously changing environmental conditions is presented. The method includes capturing (1001) a video stream from a plurality of cameras, performing (1003) video analytics tasks on the video stream, the video analytics tasks defined as analytics units (AUs), applying (1005) image processing to the video stream to obtain processed frames, filtering (1007) the processed frames through a filter to discard low-quality frames and dynamically fine-tuning (1009) parameters of the plurality of cameras. The fine-tuning includes passing the filtered frames to an AU-specific proxy quality evaluator, employing State-Action-Reward- State-Action (SARSA) reinforcement learning (RL) computations to automatically fine-tune the parameters of the plurality of cameras, and based on the reinforcement computations, applying a new policy for an agent to take actions and learn to maximize a reward.

    FREE FLOW FEVER SCREENING
    2.
    发明申请

    公开(公告)号:WO2021242621A1

    公开(公告)日:2021-12-02

    申请号:PCT/US2021/033550

    申请日:2021-05-21

    Abstract: A method for free flow fever screening is presented. The method includes capturing (801) a plurality of frames from thermal data streams and visual data streams related to a same scene to define thermal data frames and visual data frames, detecting and tracking (803) a plurality of individuals moving in a free-flow setting within the visual data frames, and generating (805) a tracking identification for each individual of the plurality of individuals present in a field-of-view of the one or more cameras across several frames of the plurality of frames. The method further includes fusing (807) the thermal data frames and the visual data frames, measuring (809), by a fever-screener, a temperature of each individual of the plurality of individuals within and across the plurality of frames derived from the thermal data streams and the visual data streams, and generating (811) a notification when a temperature of an individual exceeds a predetermined threshold temperature.

    DEEP LEARNING BASED TATTOO MATCH SYSTEM
    3.
    发明申请

    公开(公告)号:WO2021178370A1

    公开(公告)日:2021-09-10

    申请号:PCT/US2021/020409

    申请日:2021-03-02

    Abstract: A computer-implemented method executed by at least one processor for detecting tattoos on a human body is presented. The method includes inputting (701) a plurality of images into a tattoo detector, selecting (703) one or more images of the plurality of images including tattoos, extracting (705), via a feature extractor, tattoo feature vectors from the tattoos found in the one or more images of the plurality of images including tattoos, applying (707) a deep learning tattoo matching model to determine potential matches between the tattoo feature vectors and preexisting tattoo images stored in a tattoo training database, and generating (709) a similarity score between the tattoo feature vectors and one or more of the preexisting tattoo images stored in the tattoo training database.

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