zeusees/Zeusee-Face-Anti-spoofing

开源配合型人脸活体检测 Open Source Face Anti-spoofing

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/ 100
Established

This tool helps mobile app developers implement a crucial security feature: verifying that a live person is present during facial recognition. It takes video input from a standard mobile camera and outputs a signal indicating whether the user is performing simple head movements (like nodding or shaking their head), which confirms they are not using a photo or video to trick the system. Mobile app developers working on identity verification or secure login features would use this.

667 stars. No commits in the last 6 months.

Use this if you are a mobile app developer building a facial recognition system and need a straightforward way to prevent fraud from spoofing attempts like photos or videos.

Not ideal if you need a non-interactive (non-cooperative) liveness detection system where the user does not need to perform any head movements.

mobile-security facial-recognition identity-verification app-development anti-spoofing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

How are scores calculated?

Stars

667

Forks

227

Language

C++

License

Apache-2.0

Last pushed

Nov 18, 2019

Commits (30d)

0

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