BigVision Face Active Liveness API

BigVision's Face Active Liveness API delivers real-time, robust protection against spoofing attacks in facial verification and authentication systems. Using active liveness detection, the API prompts users to perform simple, randomized actions—such as blinking, turning their head, smiling, or nodding—to confirm that a live, physically present person is being verified, not a photo, video replay, mask, or deepfake.

Key Features:

Active Challenge-Response Detection — Randomized prompts (blink, turn head, open mouth, etc.) prevent pre-recorded or replayed attacks Anti-Spoofing Protection — Detects printed photos, digital screen replays, video injection, 3D masks, and deepfake attempts Real-Time Processing — Low-latency verification suitable for onboarding, login, and transaction authentication flows High Accuracy — Deep learning models trained to minimize both false acceptance (spoof passes as real) and false rejection (real user blocked) Cross-Platform SDKs — Easy integration for web, iOS, and Android applications Compliance-Ready — Supports KYC (Know Your Customer) and eKYC requirements for banking, fintech, and regulated industries Scalable Cloud API — RESTful endpoints designed for high-volume enterprise deployment

Use Cases:

Digital identity verification (eKYC) Secure account onboarding for banks and fintech apps Biometric login and multi-factor authentication Fraud prevention in remote/online services