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3DiVi Inc., founded in 2011, is one of the leading developers of AI and machine learning (ML) technologies for computer vision.
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Liveness Detection
Block Face Biometric Spoofing — Ensure Only Real Users Get Verified
How Liveness Detection Works?
3DiVi Liveness Detection uses AI models to analyze micro-movements, skin textures, and light reflection patterns. The algorithm spots subtle inconsistencies in motion and lighting to verify real users and block spoofing attempts such as printed photos, digital screen replays, 2D or 3D silicone and paper masks.
Active Liveness
3D Liveness Detection
2D Liveness Detection
Users are prompted with changing scenarios — smile, blink, turn, or tilt their head — to confirm they are real and detect spoofing with replayed videos.
Uses an IR depth sensor to measure real 3D geometry and distance and create a depth map that verifies the face volume and detects flat or fake faces.
Detects visual anomalies in single frames — printed photo borders, device screen edges, cut contours of paper masks, pixelation, blurriness, and unnatural lighting.
Key Features
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High-Precision Liveness Detection
Detects real users with exceptional accuracy — blocking over 99% of spoofing attempts (APCER), including masks, photos, and digital screen replays. -
Smart Anti-Spoofing in Single Frame
Blocks all common spoofing attacks in one shot, including replay attacks, printed photos, 2D masks, and 3D masks like silicone, paper, or sculpted heads. -
Cross-Platform Liveness SDKs
Easily embedded into browsers and mobile / desktop apps using SDKs for Web, Android, and iOS. -
Fast API Integration
Integrate in hours, not weeks — with a simple API designed for fast connection to your existing information systems.
Why Liveness Detection Matters
Liveness Detection is the key to secure biometric verification. Without it, attackers can easily trick face recognition using printed photos or replayed videos. 3DiVi Liveness Detection ensures that only real, live users bypass verification — protecting digital onboarding, access control, and payment systems from identity fraud.
Use Cases
Stop identity spoofing in digital onboarding, login, and financial transactions.
Detect fraudulent or duplicate login attempts using identity verification with liveness checks.
Prevent face swap attacks during face-based access to offices, airports, or restricted areas.
Verify subscribers instantly and block SIM swaps or account takeovers.
Ensure authentic student verification and stop impersonation and account-sharing.
Verify genuine users and stop fake accounts or transaction fraud.
Success Stories
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