Silent-Face-Anti-Spoofing and FaceLivenessDetection-SDK

Silent-Face-Anti-Spoofing
51
Established
FaceLivenessDetection-SDK
40
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 22/25
Stars: 1,658
Forks: 520
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 267
Forks: 56
Downloads: —
Commits (30d): 0
Language: C++
License: —
Stale 6m No Package No Dependents
Archived No License Stale 6m No Package No Dependents

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.

identity-verification fraud-prevention access-control biometrics user-authentication

About FaceLivenessDetection-SDK

DoubangoTelecom/FaceLivenessDetection-SDK

3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

Related comparisons

Silent-Face-Anti-Spoofing and Zeusee-Face-Anti-spoofing Silent-Face-Anti-Spoofing and Face-Liveness-Detection-SDK-Android Silent-Face-Anti-Spoofing and FaceLivenessDetection-Android Silent-Face-Anti-Spoofing and Face-Liveness-Detection-SDK-Android Silent-Face-Anti-Spoofing and FaceLivenessDetection-iOS Silent-Face-Anti-Spoofing and Face-Recognition-SDK

Scores updated daily from GitHub, PyPI, and npm data. How scores work