Identity VerificationFace RecognitionSecurity & Fraud Prevention
107

Facia

Prevent identity fraud with instant 3D face verification and deepfake detection

API Available
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Facia

Target Audience

  • Banking security teams
  • Government ID services
  • Enterprise IT departments
  • Online gambling platforms

Hashtags

#FraudPrevention#DeepfakeDetection#3DLiveness

Overview

Facia helps businesses verify identities securely using advanced facial recognition technology. It detects live users (not photos/videos) and identifies AI-generated deepfakes, crucial for preventing financial fraud and unauthorized access. Used across banking, retail, and government sectors for secure authentication processes.

Key Features

1

3D Liveness

Detects live humans using depth-sensing anti-spoofing technology

2

Deepfake Detection

Identifies AI-generated images/videos in real-time

3

Face Search

Finds matches in large databases within seconds

4

ID Matching

Compares live faces with government-issued documents

5

Single-Image Check

Verifies liveness from static photos without video

Use Cases

🔒

Secure passwordless logins for banking apps

📝

Prevent duplicate account creation (1:N search)

🎫

Facial ticketing for event access control

💳

Face-based payment authorization systems

🕵️

Detect deepfakes in video conferences

Pros & Cons

Pros

  • NIST-certified 99.8% accuracy rate
  • Works with existing cameras (no special hardware)
  • GDPR/CCPA compliant data handling
  • 1-second verification latency

Cons

  • Primarily enterprise-focused (may be complex for small businesses)
  • Limited offline capabilities mentioned

Frequently Asked Questions

Can Facia detect deepfakes in live video calls?

Yes, the platform specializes in real-time deepfake detection during video conferencing.

Does this require special 3D cameras?

No, works with standard 2D cameras through advanced depth mapping algorithms.

What industries benefit most?

Banking, online gambling, government services, and dating platforms use it most frequently.

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