Face-Recognition-SDK and FaceLivenessDetection-Android

The Face-Recognition-SDK is a comprehensive suite that includes face detection, recognition, and liveness, while the FaceLivenessDetection-Android is a specific Android implementation focused solely on liveness detection, making it an ecosystem sibling as the latter is a specialized client library for a component of the former.

Maintenance 2/25
Adoption 8/25
Maturity 8/25
Community 21/25
Maintenance 2/25
Adoption 8/25
Maturity 8/25
Community 20/25
Stars: 53
Forks: 33
Downloads:
Commits (30d): 0
Language:
License:
Stars: 43
Forks: 23
Downloads:
Commits (30d): 0
Language: Java
License:
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Face-Recognition-SDK

Faceplugin-ltd/Face-Recognition-SDK

Face recognition SDK & Face liveness detection SDK (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)

This solution provides secure identity verification by analyzing faces from cameras or uploaded images. It accurately matches faces and detects if someone is trying to trick the system with photos, videos, or masks. It's designed for businesses and organizations that need reliable and secure user authentication, access control, or fraud prevention.

identity-verification access-control fraud-prevention biometric-security user-authentication

About FaceLivenessDetection-Android

Faceplugin-ltd/FaceLivenessDetection-Android

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

This tool helps secure identity verification systems by detecting fraudulent attempts to impersonate real users. When someone tries to authenticate using an Android device, it analyzes their face via the camera to determine if it's a live person or a fake. This ensures that only genuine users are granted access, protecting against various spoofing methods like photos, videos, 3D masks, and deepfakes. It's ideal for developers building secure authentication or onboarding flows for Android applications.

identity-verification mobile-security android-development fraud-prevention

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