Verify Real Users in Real Time with Liveness Detection

Spoof-proof identity starts with confirming presence. Facia’s liveness detection insights ensure you implement the right solution to detect whether the person behind the screen is real, present, and not a replay, deepfake, or mask.

Exploit static images or video replays

The Realness Problem in Identity Verification

The Realness Problem in Identity Verification

Attackers are no longer limited to fake IDs or passwords. Today, they leverage advanced tools to trick biometric systems using:

Without reliable liveness detection, facial recognition alone becomes vulnerable. Verifying a face is not enough. Verifying presence is essential.

Modern Day Multi-Layer Liveness Detection Engine

The passive AI-driven monitoring with active response challenges the detection of even the most sophisticated spoof attempts. Built to operate silently or interactively based on your flow.

Passive Liveness

No user interaction required. Detects micro-textures, skin reflectance, and eye movement to confirm real presence during selfie capture.

Active Liveness (Optional)

Prompt users to perform randomized facial gestures (blink, turn, smile) to validate live responses.

Deepfake Defense

Trained on synthetic face datasets to detect AI-generated anomalies in real time.

Cross-Platform Resilience

Works consistently across mobile, web, kiosk, and edge devices with varying camera quality and lighting conditions.

Liveness First Approach: Industry Use Cases

Remote Onboarding

Stop bots and fake accounts at sign-up.

Authentication Workflows

Detect spoof attempts during sign-ins or session refresh.

Account Recovery

Ensure genuine recovery via livesness validation.

eKYC/AML Workflows

Combine liveness with document checks for high-trust environments.

Why Liveness Detection?

Liveness Detection

Start with Liveness Verification Today

If your platform values real users, you need real-time presence detection. Use Facia to understand liveness detection and detect plus defend in milliseconds.