Anti-spoofing technology in facial recognition time clocks that detects actual live persons versus photos, videos, or masks. Uses AI to analyze micro-movements, depth, and biological signs. Prevents time fraud attempts using photos or videos of authorized employees, ensuring genuine presence verification.
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Liveness Detection in Biometric Time Tracking
Liveness detection ensures the person clocking in is physically present, not a photo or video, preventing sophisticated time fraud.
Analysis Methods
AI Processing Machine learning identifies authentic vs spoofed attempts.
Detects
Provides high confidence in physical presence, preventing common bypass attempts.
Included in advanced facial recognition time tracking systems.
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