Real-time deepfake & liveness detection
BlinkTrace powers real-time human verification from a webcam stream — analyzing tiny facial movements to separate genuine presence from synthetic deepfakes.
Turn on your camera and see how BlinkTrace responds to your presence in real time.
Real-time response: As you move, blink, or look around, BlinkTrace receives a stream of snapshots and returns a continuous estimate of “human vs synthetic”.
SDK mindset: This same pattern can be embedded into onboarding flows, proctoring systems, and high-risk video calls — not just a single website.
Privacy-aware design: In production, organizations can keep all processing inside their own environment, while BlinkTrace powers the scoring and explanations.
Prototype behavior
This demo focuses on end-to-end experience rather than perfect accuracy. The underlying models, calibration, and thresholds will continue to evolve as we train on more real-world data.
BlinkTrace brings liveness detection and deepfake defense into a single, developer-friendly platform.
Instead of just matching faces, BlinkTrace pays attention to small motions — blink rhythm, eye shifts, and subtle head movements — to capture a live “presence signal”.
Deploy inside your own stack or region. The same SDK patterns demonstrated here can run at the edge, in a private VPC, or within your own infrastructure.
This demo mirrors how developers will integrate BlinkTrace: start a session, stream frames, receive scores and ready-to-display explanations for end users.
Join the early access list for SDK documentation, pilot programs, and the BlinkTrace Data Portal that powers ongoing model training.
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