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COMPUTERIZED SYSTEM AND METHOD FOR ADAPTIVE STRANGER DETECTION

机译:自适应陌生人检测的计算机化系统和方法

摘要

Disclosed are systems and methods for improving interactions with and between computers in computerized security and content monitoring, hosting and providing devices, systems and/or platforms. The disclosed systems and methods provide a novel framework that adaptively distinguishes between known people versus unknown people based on a dynamically applied, anonymous facial recognition methodology. The disclosed framework provides such functionality by recognizing faces within captured images without storing any information or annotations regarding or revealing the captured person's identity. The framework is configured to adaptively learn to distinguish between faces seen for the first time and faces it has previously seen by locally processing a captured image and only sending face embeddings to a network location for future comparisons of subsequently, anonymously captured images.
机译:公开了用于改善计算机化安全和内容监视,托管和提供设备,系统和/或平台的计算机中的与计算机之间的交互的系统和方法。 所公开的系统和方法提供了一种新颖的框架,其基于动态应用的匿名面部识别方法,自适应地区分已知人群与未知人群。 所公开的框架通过识别捕获图像内的面部而不存储有关或揭示捕获人的身份的任何信息或注释来提供这样的功能。 该框架被配置为自适应地学会区分第一次看到的面部,并且通过本地处理捕获的图像并且仅向网络位置发送捕获的图像以供随后,匿名捕获图像的未来比较来实现。

著录项

  • 公开/公告号US2021397823A1

    专利类型

  • 公开/公告日2021-12-23

    原文格式PDF

  • 申请/专利权人 VERIZON MEDIA INC.;

    申请/专利号US202117462387

  • 发明设计人 YANG ZHANG;GUY DASSA;ATTE LAHTIRANTA;

    申请日2021-08-31

  • 分类号G06K9;G06F16/787;G06F16/71;G06F16/74;G06F16/783;

  • 国家 US

  • 入库时间 2024-06-14 22:34:31

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