birdowl21/Face-Liveness-Detection-Anti-Spoofing-Web-App

A Python anti-spoofing web app to distinguish real faces from fake ones based on live camera feed

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This web application helps secure online identity verification by distinguishing between a real person and a fraudulent attempt using a photo or video. It takes a live camera feed as input and determines if the face presented is genuine, preventing false verifications. This tool is ideal for anyone managing online user authentication or access control.

No commits in the last 6 months.

Use this if you need to add an extra layer of security to prevent fraud during online logins, identity checks, or access grants by ensuring a live human presence.

Not ideal if you need to support more than a few simultaneous users, operate in brightly lit environments, or require consistent performance across all web browsers including Edge.

online-security identity-verification fraud-prevention access-control user-authentication
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 20 / 25

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63

Forks

27

Language

Python

License

Last pushed

Oct 14, 2022

Commits (30d)

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