VEHICLE DEVICE SETTING METHOD
    212.
    发明公开

    公开(公告)号:US20240071136A1

    公开(公告)日:2024-02-29

    申请号:US18386603

    申请日:2023-11-03

    CPC classification number: G06V40/174 B60R25/25 G06V20/59 G06V2201/10

    Abstract: A vehicle device setting method including: capturing, by an image sensing unit, a first image frame; recognizing a user ID according to the first image frame; showing ID information of the recognized user ID on a screen or by a speaker; capturing a second image frame; generating a confirm signal when a first user expression is recognized by calculating an expression feature in the second image frame and comparing the recognized expression feature with stored expression data associated with a predetermined user expression to confirm whether the recognized user ID is correct or not according to the second image frame captured after the ID information is shown; controlling an electronic device according to the confirm signal; and entering a data update mode instructed by the user and updating setting information of the electronic device by current electronic device setting according to a saving signal generated by confirming a second user expression in a third image frame captured after the user ID is confirmed through showing the ID information.

    LONG-TAIL COLOR PREDICTION
    219.
    发明公开

    公开(公告)号:US20240037906A1

    公开(公告)日:2024-02-01

    申请号:US17814921

    申请日:2022-07-26

    Applicant: ADOBE INC.

    CPC classification number: G06V10/764 G06V10/56 G06V10/774 G06V2201/10

    Abstract: Systems and methods for color prediction are described. Embodiments of the present disclosure receive an image that includes an object including a color, generate a color vector based on the image using a color classification network, where the color vector includes a color value corresponding to each of a set of colors, generate a bias vector by comparing the color vector to teach of a set of center vectors, where each of the set of center vectors corresponds to a color of the set of colors, and generate an unbiased color vector based on the color vector and the bias vector, where the unbiased color vector indicates the color of the object.

    Caller verification via carrier metadata

    公开(公告)号:US11889024B2

    公开(公告)日:2024-01-30

    申请号:US17948991

    申请日:2022-09-20

    Abstract: Embodiments described herein provide for passive caller verification and/or passive fraud risk assessments for calls to customer call centers. Systems and methods may be used in real time as a call is coming into a call center. An analytics server of an analytics service looks at the purported Caller ID of the call, as well as the unaltered carrier metadata, which the analytics server then uses to generate or retrieve one or more probability scores using one or more lookup tables and/or a machine-learning model. A probability score indicates the likelihood that information derived using the Caller ID information has occurred or should occur given the carrier metadata received with the inbound call. The one or more probability scores be used to generate a risk score for the current call that indicates the probability of the call being valid (e.g., originated from a verified caller or calling device, non-fraudulent).

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