Prove There Is a Real, Live Human Present
Neutralize printed photos, screen replays, 3D silicone masks, and AI deepfakes. Vinstar provides certified Presentation Attack Detection (PAD) with effortless 1-second passive verification.
Three Certified Modes for Every User Journey
Choose the right balance of speed and security based on your specific transaction risk.
Passive Liveness
User simply holds steady for one selfie. Our neural networks analyze micro-skin texture, depth reflection, and optical frequency gradients in under 600 milliseconds.
Passive + Blink Challenge
The user looks into the lens and blinks naturally. Evaluates genuine eye moisture, eyelid velocity curves, and corneal reflection to eliminate static deepfake face masks.
Active 3D Head Turn
Directs user to turn head slightly left or right. Evaluates 3D landmark parallax and geometric pose angles to defeat 2D screens and software injection drivers.
Attacks Blocked by Vinstar Liveness Engine
Printed Photo Attack
Detects matte/gloss paper reflections, cutout eye holes, and lack of true 3D facial depth.
Screen Replay Attack
Identifies moiré interference fringes and pixel grid refresh rates on tablet/phone displays.
3D Silicone Mask
Analyzes natural facial skin texture, edge boundaries, and micro-pore irregularity.
AI Deepfake Swap
Flags boundary blending artifacts, synthetic eye gaze anomalies, and temporal jitter.
Protect Your Onboarding Against Presentation Attacks
Schedule an evaluation of our ISO 30107-3 Level 1 & 2 presentation attack detection and spoof prevention reports.