Ultrasonic fingerprint anti-spoofing based on A-line data

    公开(公告)号:US12033422B1

    公开(公告)日:2024-07-09

    申请号:US18186865

    申请日:2023-03-20

    Abstract: Some disclosed methods involve obtaining current A-line data corresponding to reflections of ultrasonic waves from a target object detected by a single receiver pixel, obtaining current ultrasonic fingerprint image data corresponding to reflections of ultrasonic waves from a target object surface, obtaining previously-obtained A-line data that was previously obtained from an authorized user, and obtaining previously-obtained ultrasonic fingerprint image data that was previously obtained from the authorized user. Some disclosed methods involve estimating, based at least in part on the current A-line data, the previously-obtained A-line data, the current ultrasonic fingerprint image data and the previously-obtained ultrasonic fingerprint image data, whether the target object is a finger of the authorized user. The estimation may involve an anti-spoofing process based at least in part on the current A-line data and the previously-obtained A-line data.

    Processing sensor information for object detection

    公开(公告)号:US11443522B2

    公开(公告)日:2022-09-13

    申请号:US16701021

    申请日:2019-12-02

    Abstract: Methods of processing vehicle sensor information for object detection may include capturing generating a feature map based on captured sensor information, associating with each pixel of the feature map a prior box having a set of two or more width priors and a set of two or more height priors, determining a confidence value of each height prior and each width prior, outputting an indication of a detected object based on a highest confidence height prior and a highest confidence width prior, and performing a vehicle operation based on the output indication of a detected object. Embodiments may include determining for each pixel of the feature map one or more prior boxes having a center value, a size value, and a set of orientation priors, determining a confidence value for each orientation prior, and outputting an indication of the orientation of a detected object based on the highest confidence orientation.

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