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Liveness Detection

Verilocale’s Liveness Detection module safeguards biometric verification through advanced motion analysis, 3D depth mapping, and texture recognition.
It accurately distinguishes live human faces from photos, videos, or masks — preventing identity fraud and ensuring genuine user presence during eKYC verification.

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Liveness Detection (Passive)

​Detects liveness from a single image or video frame using texture and motion cues—ideal for frictionless onboarding with no user interaction.

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Liveness Detection (Action-Based)

Requires users to perform gestures (blink, nod, smile) to confirm presence, preventing spoofing attacks with printed photos or deepfake videos.

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Liveness Detection (Color/Infrared)

Uses RGB and NIR dual-channel detection to differentiate between real human skin and digital reproductions, enhancing anti-spoofing precision.

Liveness Detection
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