FaceLivenessDetection-SDK and Face-Liveness-Detection-SDK-Android

Both tools offer very similar functionalities as they are SDKs for robust, real-time, on-device 3D passive face liveness detection and anti-spoofing, making them direct competitors in the "face-recognition-systems" category.

Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 22/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 22/25
Stars: 267
Forks: 56
Downloads:
Commits (30d): 0
Language: C++
License:
Stars: 220
Forks: 55
Downloads:
Commits (30d): 0
Language: Java
License:
Archived No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

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...).

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