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Face Liveness Overview

Face Liveness is a sophisticated API that verifies whether a facial image was captured from a live person, preventing fraud attempts using fake photos, videos, or other spoofing techniques. This technology ensures a more secure and trustworthy verification process.

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Key Features

  • Live Detection: Verify that images are from real, live persons
  • Anti-Spoofing: Detect fake photos, videos, and 3D masks
  • Real-time Analysis: Quick processing for immediate results
  • High Accuracy: Advanced AI algorithms for reliable detection
  • Multiple Attack Detection: Identify various types of spoofing attempts
  • Privacy Focused: Process images without storing personal data

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Types of Attacks Detected

  • Photo Attacks: Printed photos or digital images
  • Video Attacks: Pre-recorded videos or live streaming
  • 3D Mask Attacks: Realistic 3D printed masks
  • Deepfake Detection: AI-generated fake images
  • Screen Attacks: Images displayed on electronic screens

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How It Works

  1. Image Submission: Upload facial image for liveness analysis
  2. Feature Analysis: Analyze facial features, textures, and patterns
  3. Liveness Detection: Check for signs of live person characteristics
  4. Spoof Detection: Identify potential attack methods
  5. Result Generation: Provide liveness score and confidence level

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Liveness Scoring

The API provides liveness scores that indicate the probability of a live person:
  • High Score (80-100%): Very likely a live person
  • Medium Score (60-79%): Possibly a live person
  • Low Score (0-59%): Likely a spoofing attempt

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Use Cases

  • Identity Verification: Ensure live person verification in KYC processes
  • Access Control: Prevent unauthorized access using fake images
  • Banking: Secure online banking and financial services
  • Government Services: Secure authentication for official services
  • Healthcare: Verify patient identity for telemedicine

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Best Practices

  • Good Lighting: Ensure adequate lighting for clear image capture
  • High Quality: Use high-resolution images for better accuracy
  • Natural Pose: Capture natural facial expressions
  • No Obstructions: Avoid glasses, masks, or other face coverings
  • Recent Images: Use recent photos for better verification

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Getting Started

To start using Face Liveness, you’ll need to:
  1. Set up your API credentials
  2. Prepare facial images following best practices
  3. Submit your first liveness check
  4. Interpret the liveness results
Ready to get started? Check out our Quick Start Guide or explore the API Reference.