FaceZK v1.1.0 - Privacy-First Human Verification

Zero-Knowledge Proof of Humanity with Advanced Liveness Detection and Expression State Management

FaceZK v1.1.0 is a complete rewrite focusing on privacy-first design, modular architecture, and enterprise-grade security. Built with modern cryptographic standards, comprehensive audit logging, and advanced liveness detection with sequential challenge completion.

🏢 About Us

Our Journey: From VerifiedCreators to VerifiedOnchain

FaceZK is the culmination of years of research and development, starting with VerifiedCreators in 2021 during the Web3 creator economy boom. Our journey began with a simple yet powerful vision: to build trust in the digital world through advanced identity verification.

VerifiedCreators (2021)

• Mission: Public creator profiles with onchain primitives to instill trust and attract investors
• Innovation: Non-KYC identity verification technology
• Impact: Helped creators build credibility in the emerging Web3 ecosystem
• Foundation: Established the core principles of privacy-first verification

VerifiedOnchain Protocol (2024+)

• Vision: The most advanced ONCHAIN and Non-KYC identity verification protocol
• Technology: AI-powered verification with Zero-Knowledge Proofs (ZKP)
• Research: Backed by comprehensive academic research and real-world testing
• Goal: Democratize trust in the decentralized web

FaceZK: The Technical Foundation

FaceZK is 1/3 of the technical steps toward launching the full VerifiedOnchain protocol. This library represents our commitment to:

• Privacy-First Design: Zero-knowledge verification without compromising security
• Academic Rigor: Research-backed implementation with peer-reviewed methodologies
• Open Source: Transparent, auditable, and community-driven development
• Enterprise Ready: Production-grade security and performance

Our Vision

We believe that trust should be decentralized, privacy should be guaranteed, and verification should be seamless. In a world where digital identity is increasingly important, we're building the infrastructure that will power the next generation of trusted interactions.

Contact & Support

• Email: [email protected]
• Research: Academic thesis available for deeper technical understanding
• Protocol Documentation: Coming soon (2/3 technical milestone)

🚀 What's New in v1.1.0

🔐 Security & Privacy Improvements

• True Zero-Knowledge: No raw biometric data storage
• AES-GCM Encryption: Military-grade encryption for all sensitive data
• Secure Key Derivation: PBKDF2 with 100,000+ iterations
• Random Salt Generation: Cryptographically secure random salts
• Audit Trail: Complete audit logging for compliance
• Memory Protection: Automatic cleanup and monitoring

🎯 Advanced Liveness Detection

• Sequential Challenge System: Enforces correct order: Blink → Head Turn → Smile
• Expression State Management: Stable expression persistence across frames
• Debounced Detection: Prevents overwriting of expression data
• Real-time Feedback: Visual indicators for current challenge step
• Confidence Tracking: Per-expression confidence scoring

🏗️ Modular Architecture

• Plugin System: Extensible plugin architecture
• Dependency Management: Automatic plugin dependency resolution
• Hot Reloading: Plugin updates without restart
• Type Safety: Full TypeScript support for all plugins
• Error Recovery: Graceful error handling and recovery

📊 Enterprise Features

• Performance Monitoring: Real-time performance metrics
• Memory Management: Automatic TensorFlow.js cleanup
• Audit Logging: Complete audit trail with export
• Configuration Validation: Comprehensive config validation
• Migration Tools: Easy migration from v1.x

🛡️ Security Features

Privacy-Preserving Design

// No raw biometric data storage
const template = await cryptoPlugin.encryptTemplate(biometricData, systemSalt);
const humanityCode = await cryptoPlugin.generateHumanityCode(biometricId, systemSalt);

Cryptographic Implementation

• AES-GCM: Authenticated encryption for templates
• PBKDF2: Secure key derivation (100,000+ iterations)
• SHA-256: Secure hashing for humanity codes
• Random IVs: Unique initialization vectors for each encryption
• Salt Generation: Cryptographically secure random salts

Audit & Compliance

• Complete Audit Trail: All operations logged
• GDPR Compliance: Data protection by design
• SOC 2 Ready: Security controls and monitoring
• Export Capabilities: Audit log export for compliance

🎯 Liveness Detection Features

Sequential Challenge System

// Enforces correct order of completion
const challenges = ['blink', 'head-turn', 'smile'];
const currentStep = session.expressionState?.currentStep; // 'blink' | 'head-turn' | 'smile' | 'completed'

Expression State Management

// Stable expression persistence across frames
const expressionState = {
  stableExpressions: {
    blink: { detected: boolean; confidence: number; timestamp: number },
    smile: { detected: boolean; confidence: number; timestamp: number },
    headTurn: { detected: boolean; confidence: number; timestamp: number }
  },
  currentStep: 'blink',
  frameCount: 15,
  debounceTimer: NodeJS.Timeout
};

Real-time Visual Feedback

• Current Step Highlighting: Blue border with pulsing animation
• Completed Steps: Green checkmark with confidence scores
• Waiting Steps: Grayed out with "⏳ Waiting..." status
• Progress Tracking: Real-time confidence updates

🏗️ Architecture Overview

Core Components

FaceZK v1.1.0
├── Core (FaceZKCore)
│   ├── Plugin Manager
│   ├── Session Management
│   ├── Expression State Management
│   └── Verification Engine
├── Face Detection (Human.js Integration)
│   ├── Face Mesh Extraction
│   ├── Landmark Detection
│   ├── Emotion Analysis
│   └── Anti-spoofing
├── Liveness Detection
│   ├── Sequential Challenge System
│   ├── Expression State Persistence
│   ├── Frame Analysis
│   └── Confidence Scoring
├── Biometric Processing
│   ├── Template Generation
│   ├── Fuzzy Hashing
│   └── Descriptor Extraction
└── Plugins
    ├── Crypto Plugin (AES-GCM, PBKDF2)
    ├── Memory Plugin (TensorFlow.js management)
    ├── Audit Plugin (Compliance logging)
    └── Performance Plugin (Metrics & monitoring)

Plugin System

interface IPlugin {
  readonly id: string;
  readonly name: string;
  readonly version: string;
  readonly state: PluginState;
  
  initialize(config: any): Promise<void>;
  dispose(): Promise<void>;
  isReady(): boolean;
}

📦 Installation

npm install facezk-core@^1.1.0

Peer Dependencies

npm install @tensorflow/tfjs@^4.22.0
npm install @vladmandic/human@^1.3.0
npm install react@^18.0.0 react-dom@^18.0.0  # For React integration

🎯 Quick Start

Basic Usage

import { FaceZK, generateSecureSalt } from 'facezk-core';

// Create with secure configuration
const facezk = await FaceZK.create({
  systemSalt: generateSecureSalt(), // Cryptographically secure
  enableAudit: true,
  maxMemoryMB: 512,
  enableMemoryMonitoring: true,
  minConfidence: 0.8,
  minLivenessScore: 0.7,
});

// Start verification session
const session = facezk.startSession();

// Process video frame
const video = document.getElementById('video');
const result = await facezk.processFrame(video);

if (result?.verified) {
  console.log('Humanity Code:', result.humanityCode);
  console.log('Biometric ID:', result.biometricId);
  console.log('Liveness Score:', result.livenessScore);
  console.log('Completed Challenges:', result.metadata.challengesCompleted);
}

// Cleanup
await facezk.dispose();

Advanced Configuration

import { FaceZK, DEFAULT_CONFIG } from 'facezk-core';

const config = {
  ...DEFAULT_CONFIG,
  systemSalt: 'your-secure-system-salt-2024',
  enableAudit: true,
  auditRetentionDays: 365,
  maxMemoryMB: 1024,
  enableMemoryMonitoring: true,
  cryptoConfig: {
    algorithm: 'AES-GCM',
    iterations: 200000, // Higher security
    keyLength: 256,
  },
  auditConfig: {
    externalEndpoint: 'https://your-audit-service.com/logs',
    enableCompression: true,
    enableEncryption: true,
  },
  // Liveness detection configuration
  livenessConfig: {
    expressionDebounceMs: 500,
    minStableFrames: 5,
    sequentialChallenges: true,
  },
};

const facezk = await FaceZK.create(config);

Plugin Management

import { FaceZK, createCryptoPlugin, createMemoryPlugin } from 'facezk-core';

// Create custom plugins
const cryptoPlugin = createCryptoPlugin({
  algorithm: 'AES-GCM',
  iterations: 150000,
});

const memoryPlugin = createMemoryPlugin({
  maxMemoryMB: 1024,
  enableProfiling: true,
});

// Use with FaceZK
const facezk = await FaceZK.create({
  systemSalt: generateSecureSalt(),
  cryptoConfig: cryptoPlugin.getConfig(),
  memoryConfig: memoryPlugin.getConfig(),
});

🔧 API Reference

FaceZK Class

Factory Method

static async create(config?: FaceZKConfig): Promise<FaceZK>

Core Methods

// Session management
startSession(): VerificationSession
getSession(): VerificationSession | null
getCurrentSession(): VerificationSession | null
resetSession(): void

// Frame processing
async processFrame(input: Input, options?: VerificationOptions): Promise<VerificationResult | null>

// Expression state management
getExpressionState(): ExpressionState | null
getCurrentStep(): 'blink' | 'head-turn' | 'smile' | 'completed'

// System information
isReady(): boolean
getConfig(): FaceZKConfig
getSystemStats(): SystemStats
getPluginInfo(pluginId: string): PluginInfo | null
listPlugins(): PluginInfo[]

// Memory management
getMemoryStats(): MemoryStats
async cleanupMemory(): Promise<void>

// Audit logging
async getAuditTrail(sessionId: string): Promise<AuditEvent[]>
async exportAuditLog(startDate: Date, endDate: Date): Promise<AuditLogExport>

// Legacy methods (for v1.x compatibility)
async generateHumanityCode(biometricId: string, additionalData?: string): Promise<string>
async encryptTemplate(templateData: Uint8Array, userSalt?: string): Promise<EncryptedData>
async decryptTemplate(encryptedData: EncryptedData): Promise<Uint8Array>

// Cleanup
async dispose(): Promise<void>

VerificationSession Interface

interface VerificationSession {
  id: string;
  startTime: Date;
  state: 'initializing' | 'detecting' | 'verifying' | 'completed' | 'failed';
  progress: number;
  result?: VerificationResult;
  error?: string;
  expressionState?: {
    lastStableFrame: number;
    stableExpressions: {
      blink: { detected: boolean; confidence: number; timestamp: number };
      smile: { detected: boolean; confidence: number; timestamp: number };
      headTurn: { detected: boolean; confidence: number; timestamp: number };
    };
    frameCount: number;
    debounceTimer?: NodeJS.Timeout;
    currentStep: 'blink' | 'head-turn' | 'smile' | 'completed';
    stepStartTime: number;
    stepCompletionTime?: number;
  };
}

VerificationResult Interface

interface VerificationResult {
  verified: boolean;
  humanityCode: string;
  biometricId: string;
  livenessScore: number;
  confidence: number;
  timestamp: Date;
  sessionId: string;
  metadata: {
    processingTime: number;
    frameCount: number;
    challengesCompleted: string[];
    stableExpressions: {
      blink: { detected: boolean; confidence: number };
      smile: { detected: boolean; confidence: number };
      headTurn: { detected: boolean; confidence: number };
    };
    boundingBox?: [number, number, number, number];
    progress: number;
  };
}

🎮 Demo & Testing

Interactive Demo

npm run demo

The demo includes:

• Real-time Face Detection: Live video processing with Human.js
• Sequential Liveness Challenges: Step-by-step expression detection
• Visual Feedback: Current step highlighting and progress tracking
• Expression State Display: Real-time confidence scores
• Verification Results: Humanity codes and biometric IDs

Demo Features

• Step-by-step Guidance: Clear instructions for each challenge
• Visual Indicators: Color-coded challenge cards
• Progress Tracking: Real-time confidence updates
• Error Handling: Graceful fallbacks for detection failures
• Performance Monitoring: Memory usage and processing time

Testing

# Unit tests
npm test

# Integration tests
npm run test:integration

# Security tests
npm run test:security

# Demo server
npm run demo

🔌 Creating Custom Plugins

Plugin Interface

interface IPlugin {
  readonly id: string;
  readonly name: string;
  readonly version: string;
  readonly state: PluginState;
  
  initialize(config: any): Promise<void>;
  dispose(): Promise<void>;
  isReady(): boolean;
}

Custom Plugin Example

import { IPlugin, PluginState } from 'facezk-core';

class CustomFaceDetectionPlugin implements IPlugin {
  public readonly id = 'custom-face-detector';
  public readonly name = 'Custom Face Detector';
  public readonly version = '1.0.0';
  public state: PluginState = 'disposed';

  async initialize(config: any): Promise<void> {
    // Initialize your custom face detection logic
    this.state = 'ready';
  }

  async dispose(): Promise<void> {
    // Cleanup resources
    this.state = 'disposed';
  }

  isReady(): boolean {
    return this.state === 'ready';
  }

  async detect(input: Input): Promise<FaceDetectionResult | null> {
    // Your custom detection logic
    return null;
  }
}

// Register and use
const plugin = new CustomFaceDetectionPlugin();
pluginManager.registry.register(plugin);

📊 Monitoring & Debugging

System Statistics

const stats = facezk.getSystemStats();
console.log('Memory Usage:', stats.memory);
console.log('Plugin Status:', stats.plugins);
console.log('Performance Metrics:', stats.performance);

Expression State Monitoring

const session = facezk.getCurrentSession();
const expressionState = session?.expressionState;

if (expressionState) {
  console.log('Current Step:', expressionState.currentStep);
  console.log('Frame Count:', expressionState.frameCount);
  console.log('Stable Expressions:', expressionState.stableExpressions);
}

Audit Trail

const auditTrail = await facezk.getAuditTrail(sessionId);
console.log('Session Events:', auditTrail);

const auditExport = await facezk.exportAuditLog(
  new Date('2024-01-01'),
  new Date('2024-12-31')
);
console.log('Audit Export:', auditExport);

Plugin Monitoring

const plugins = facezk.listPlugins();
plugins.forEach(plugin => {
  console.log(`${plugin.name}: ${plugin.state}`);
});

const cryptoInfo = facezk.getPluginInfo('crypto-plugin');
console.log('Crypto Plugin:', cryptoInfo);

🔒 Security Best Practices

Configuration Security

// ✅ Good: Use secure random salt
const config = {
  systemSalt: generateSecureSalt(),
  enableAudit: true,
  auditRetentionDays: 90,
};

// ❌ Bad: Hardcoded salt
const config = {
  systemSalt: 'my-secret-salt',
  enableAudit: false,
};

Memory Management

// ✅ Good: Enable memory monitoring
const config = {
  maxMemoryMB: 512,
  enableMemoryMonitoring: true,
};

// ✅ Good: Regular cleanup
await facezk.cleanupMemory();

Audit Logging

// ✅ Good: Enable comprehensive audit logging
const config = {
  enableAudit: true,
  auditRetentionDays: 365,
  auditConfig: {
    logLevel: 'security',
    enableEncryption: true,
  },
};

🚀 Performance Optimization

Memory Optimization

const config = {
  maxMemoryMB: 1024,
  enableMemoryMonitoring: true,
  memoryConfig: {
    cleanupInterval: 30000, // 30 seconds
    enableProfiling: true,
  },
};

Backend Selection

const config = {
  backend: 'webgl', // Best performance for most cases
  // backend: 'wasm', // Good for CPU-only environments
  // backend: 'cpu', // Fallback option
};

Liveness Detection Optimization

const config = {
  livenessConfig: {
    expressionDebounceMs: 300, // Faster response
    minStableFrames: 3, // Lower threshold for faster completion
    sequentialChallenges: true,
  },
};

🔄 Migration from v1.x

Automatic Migration

import { migrateFromV1 } from 'facezk-core';

const v1Config = {
  backend: 'webgl',
  minConfidence: 0.8,
  challenges: ['blink', 'head-turn'],
};

const v2Config = migrateFromV1(v1Config);
const facezk = await FaceZK.create(v2Config);

Manual Migration

// v1.x initialization
const facezk = new FaceZK(config);
await facezk.initialize();

// v2.0 initialization
const facezk = await FaceZK.create(config);

📚 Examples

React Integration

import { useFaceZK } from 'facezk-core/react';

function FaceVerification() {
  const { facezk, isReady, processFrame } = useFaceZK({
    systemSalt: generateSecureSalt(),
    enableAudit: true,
  });

  const handleVideoFrame = async (video: HTMLVideoElement) => {
    const result = await processFrame(video);
    if (result?.verified) {
      console.log('Verification successful!');
      console.log('Completed challenges:', result.metadata.challengesCompleted);
    }
  };

  return (
    <div>
      {isReady ? 'Ready for verification' : 'Initializing...'}
    </div>
  );
}

Node.js Server

import { FaceZK, generateSecureSalt } from 'facezk-core';

class VerificationService {
  private facezk: FaceZK;

  async initialize() {
    this.facezk = await FaceZK.create({
      systemSalt: generateSecureSalt(),
      enableAudit: true,
      auditRetentionDays: 365,
    });
  }

  async verifyUser(imageBuffer: Buffer) {
    const session = this.facezk.startSession();
    const result = await this.facezk.processFrame(imageBuffer);
    
    if (result?.verified) {
      return {
        success: true,
        humanityCode: result.humanityCode,
        biometricId: result.biometricId,
        livenessScore: result.livenessScore,
        challengesCompleted: result.metadata.challengesCompleted,
      };
    }
    
    return { success: false };
  }
}

🐛 Troubleshooting

Model Loading Issues

If you encounter 404 errors for model files:

1. Ensure the models directory exists in your project root
2. Verify the demo server is configured to serve /models directory
3. Check that all required .json and .bin files are present

Expression Detection Issues

If expressions are not being detected:

1. Ensure good lighting conditions
2. Position face clearly in camera view
3. Complete challenges in the correct order: Blink → Head Turn → Smile
4. Check browser console for detailed error messages

Performance Issues

If experiencing slow performance:

1. Reduce maxMemoryMB in configuration
2. Enable memory monitoring and cleanup
3. Use WebGL backend for better GPU acceleration
4. Adjust expressionDebounceMs for faster response

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

git clone https://github.com/facezk/facezk-lib.git
cd facezk-lib
npm install
npm run dev

Code Quality

npm run lint
npm run type-check
npm run test:coverage

📄 License

MIT License - see LICENSE for details.

🔗 Links

• Documentation: https://facezk.com/docs
• API Reference: https://facezk.com/api
• Security: https://facezk.com/security
• Migration Guide: MIGRATION_GUIDE.md

🆘 Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Email: [email protected]

FaceZK v1.1.0 - Privacy-First Human Verification with Advanced Liveness Detection

Built by the team behind VerifiedCreators and VerifiedOnchain Protocol