Silent-Face-Anti-Spoofing and Face-Liveness-Detection-SDK-Android

These are competitors, as both tools offer face liveness detection (anti-spoofing) solutions, with one being an open-source project and the other an SDK for Android.

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: 220
Forks: 55
Downloads:
Commits (30d): 0
Language: Java
License:
Stale 6m No Package No Dependents
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 Face-Liveness-Detection-SDK-Android

FaceOnLive/Face-Liveness-Detection-SDK-Android

Robust, Realtime, On-Device Face Liveness Detection (Face Anti Spoofing) Android

This helps Android app developers integrate robust, real-time face liveness detection directly into their applications. When a user presents their face to the device camera, the SDK determines if it's a live person or an attempted spoof (like a photo or video). It outputs a 'liveness' score, allowing the app to proceed with or reject authentication or identity verification. This is for developers building secure Android applications where verifying a user's physical presence is critical.

mobile-app-security identity-verification biometric-authentication fraud-prevention android-development

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