Vault ID Face

Function:

Passive Facial Liveness Detection

Built For:

Onboarding Platforms, Security Apps & Identity Systems

Highlights:

Single‑Image Check, Zero User Action, Anti‑Spoofing AI

Integration:

Webcam, Mobile Selfie, API/SDK

Deployment:

SDK, Docker, Cloud or On‑Device

Secure Face Verification with Invisible, One‑Shot Liveness Checks.

Vault ID Face ensures every selfie is from a live person—without prompting a blink, smile, or head‑turn.

Single‑Frame Liveness & Spoof Detection
No User Participation Needed
ISO‑Compliant Anti‑Spoofing AI
Lightweight SDK / API Integration

Built for seamless identity proofing, Vault ID Face analyzes the same image captured for facial recognition—adding a powerful passive liveness layer. Whether you're onboarding users via mobile app or authenticating on the web, it works silently in the background, detecting photo, video, mask, or replay attacks without extra friction.

01 . The Challenge

Face recognition alone can’t tell if a picture is coming from a real person. Fraudsters exploit this with printed photos, digital videos, masks, and deepfakes—trickery that active liveness methods try to counter, but often confuse users and slow the process.

02 . The Solution

Vault ID Face uses deep learning to analyze a single selfie, verify liveness instantly, and flag spoofing attempts—all without any user prompts. Results arrive in under a second, with full ISO‑compliant accuracy and minimal bandwidth, whether deployed via SDK, Docker, or on‑device.