FaceLivenessDetection-SDK and FaceLivenessDetection-iOS

These two tools are competitors, as both offer passive face liveness detection SDKs designed to counter various spoofing attacks including deepfakes, with similar technical approaches and goals for integration into face recognition systems.

Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 22/25
Maintenance 2/25
Adoption 6/25
Maturity 8/25
Community 24/25
Stars: 267
Forks: 56
Downloads:
Commits (30d): 0
Language: C++
License:
Stars: 18
Forks: 103
Downloads:
Commits (30d): 0
Language: Swift
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 FaceLivenessDetection-iOS

Faceplugin-ltd/FaceLivenessDetection-iOS

Liveness detection SDK iOS- iBeta level 2 certified 3D passive liveness detection engine which can detect printed photos, video replay, 3D masks, and deepfake threats

This tool helps businesses that use facial authentication on iOS devices to prevent fraud. It takes a live video feed from a user's device and determines if the person is real or if someone is trying to bypass the system with a fake image, video, or 3D mask. This is for developers building secure iOS apps for identity verification, financial services, or access control.

identity-verification fraud-prevention mobile-security digital-onboarding biometric-authentication

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