@liveness/engine

Core computer vision logic and mathematical utilities for Active Liveness Detection. This package leverages MediaPipe Face Mesh and TensorFlow.js to provide low-level detection capabilities.

Installation

npm install @liveness/engine

Features

• Face Mesh Integration: Uses MediaPipe for accurate 3D facial landmark detection.
• Mathematical Utilities: EAR (Eye Aspect Ratio), Laplacian Variance (Texture Analysis), Depth Variance, and FFT (Moire Detection).
• Configuration Driven: Highly customizable detection parameters.

Usage

This package is intended for use within the @liveness/sdk or for custom liveness detection implementations.

import { LivenessEngine } from '@liveness/engine';

const engine = new LivenessEngine({
  onSuccess: (data) => console.log('Liveness verified', data),
  onFailure: (error) => console.error('Verification failed', error)
});

License

MIT