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公开(公告)号:US20250095406A1
公开(公告)日:2025-03-20
申请号:US18970431
申请日:2024-12-05
Applicant: Google LLC
Inventor: Cem Kemal Hamami , Philip Andrew Mansfield , Samuel Paradis , Michael Williams , Wen-Sheng Chu
IPC: G06V40/50 , G06V10/762 , G06V40/16
Abstract: This document describes systems and techniques that enable continuous personalization of face authentication. In aspects, an authentication system associated with a network includes an authentication manager. The authentication manager receives an embedding representing image data associated with a user's face. The authentication manager generates a confidence score based on the embedding. Further, the authentication manager updates previously enrolled embeddings with the embedding based on the confidence score, the embedding meeting a clustering confidence threshold. Through such a technique, the authentication manager can alter the previously enrolled embeddings by which a future embedding is used to authenticate the user's face. By so doing, the techniques may provide more-accurate and successful user authentication over time.
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公开(公告)号:US12189738B2
公开(公告)日:2025-01-07
申请号:US17439770
申请日:2019-09-09
Applicant: Google LLC
Inventor: Michael Moreno , Michael Williams , Ji Soo Shin , Madhi Hamzeh
Abstract: This document describes techniques and systems that enable face authentication embedding migration and drift-compensation. The techniques and systems include a user device that is updated to include both a current version of firmware and an updated version of the firmware. Then, an indication of a face-authentication attempt is received along with image data associated with a user's face. After successful authentication, using the current version of firmware on the image data, the user device uses the updated version of the firmware on the same image data to generate a new embedding. The new embedding is stored as part of a migration profile for the user. Additional new embeddings are collected over a series of subsequent face-authentication attempts until a complete set of new embeddings is stored for the migration profile. Then, the old profile is deleted and the migration profile becomes the enrollment profile used for face authentication.
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公开(公告)号:US20220100831A1
公开(公告)日:2022-03-31
申请号:US17439770
申请日:2019-09-09
Applicant: Google LLC
Inventor: Michael Moreno , Michael Williams , Ji Soo Shin , Madhi Hamzeh
Abstract: This document describes techniques and systems that enable face authentication embedding migration and drift-compensation. The techniques and systems include a user device that is updated to include both a current version of firmware and an updated version of the firmware. Then, an indication of a face-authentication attempt is received along with image data associated with a user's face. After successful authentication, using the current version of firmware on the image data, the user device uses the updated version of the firmware on the same image data to generate a new embedding. The new embedding is stored as part of a migration profile for the user. Additional new embeddings are collected over a series of subsequent face-authentication attempts until a complete set of new embeddings is stored for the migration profile. Then, the old profile is deleted and the migration profile becomes the enrollment profile used for face authentication.
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