Advanced biometric authentication technology that prevents time theft by verifying that a live person is present during clock-in, using 3D depth estimation to detect and reject static photos or videos.
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Liveness Detection for Biometric Time Clocks
Liveness Detection is an anti-spoofing technology integrated into modern biometric time tracking systems that ensures the person clocking in is physically present and not using a photograph, video, or mask to bypass authentication.
The technology uses advanced depth estimation to distinguish between a real three-dimensional face and a two-dimensional representation like a photo or screen.
Systems analyze micro-movements and natural facial expressions that occur only in live subjects, making it virtually impossible to fool with static images.
Some implementations request random movements (blink, smile, turn head) to verify liveness, though advanced systems can detect authenticity without requiring user actions.
Modern time tracking platforms like Jibble have integrated liveness detection into their facial recognition systems:
Liveness detection has become standard in:
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