Zeusee-Face-Anti-spoofing and Silent-Face-Anti-Spoofing
About Zeusee-Face-Anti-spoofing
zeusees/Zeusee-Face-Anti-spoofing
开源配合型人脸活体检测 Open Source Face Anti-spoofing
This tool helps mobile app developers implement a crucial security feature: verifying that a live person is present during facial recognition. It takes video input from a standard mobile camera and outputs a signal indicating whether the user is performing simple head movements (like nodding or shaking their head), which confirms they are not using a photo or video to trick the system. Mobile app developers working on identity verification or secure login features would use this.
About Silent-Face-Anti-Spoofing
minivision-ai/Silent-Face-Anti-Spoofing
静默活体检测（Silent-Face-Anti-Spoofing）
This helps determine if a face presented to a camera is real or a fake (like a photo or mask), without requiring the user to perform any actions. It takes a live camera feed of a face as input and outputs a determination of 'real' or 'spoof,' along with a confidence score. This is ideal for anyone managing identity verification systems, such as for secure access control, online banking, or user authentication in various applications.
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