Systems and Methods Using Person Recognizability Across a Network of Devices

    公开(公告)号:US20220254190A1

    公开(公告)日:2022-08-11

    申请号:US17622460

    申请日:2019-08-14

    Applicant: Google LLC

    Abstract: The present disclosure is directed to computer-implemented systems and methods for performing recognition over a network of devices. In general, the systems and methods implement a machine-learned recognizability model that can process information such as a person's voice, facial characteristics, or similar information to determine a recognizability score without necessarily generating or storing biometric information that could be used to identify the person. The recognizability score can act as a proxy for the quality of the information as a reference for biometric recognition that can be performed on other devices in the network of devices. Thus a single device can be used to enroll a person in the network (e.g., by capturing a number of photographs of the person). Thereafter, connection to the other devices can utilize a sensor (e.g., a camera) on the other devices to compare features of the reference information to the input received by the sensor.

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