Day 9: Adding Real-Time Security Features with Face Authentication #FaceAuthentication #AIAvatarSecurity

On Day 9, we’ll add face authentication to enhance security. This will allow users to unlock features or verify identity using their face. We’ll also explore privacy measures for handling face data securely.


1. Why Face Authentication?

Enhanced Security: Prevents unauthorized use.
Seamless Access: No need for passwords or PINs.
Personalized Features: Unlocks premium avatar customizations.

We’ll use:
🔹 Expo Face Detector (for local face recognition)
🔹 TensorFlow.js Face Recognition (for advanced biometric authentication)


2. Installing Face Authentication Dependencies

Step 1: Install Expo Face Detector

expo install expo-face-detector

Step 2: Install TensorFlow.js for Face Matching

npm install @tensorflow/tfjs @tensorflow-models/facemesh

3. Setting Up Face Authentication

Step 1: Detect a User’s Face

Modify FaceAuth.js:

import { Camera } from 'expo-camera';
import * as FaceDetector from 'expo-face-detector';
import { useState } from 'react';
import { View, Text } from 'react-native';

export default function FaceAuth({ onAuthenticate }) {
    const [hasPermission, setHasPermission] = useState(null);

    useEffect(() => {
        (async () => {
            const { status } = await Camera.requestPermissionsAsync();
            setHasPermission(status === 'granted');
        })();
    }, []);

    const handleFacesDetected = ({ faces }) => {
        if (faces.length > 0) {
            onAuthenticate(true); // Authentication success
        }
    };

    if (hasPermission === null) return <View />;
    if (hasPermission === false) return <Text>No access to camera</Text>;

    return (
        <Camera
            style={{ flex: 1 }}
            type={Camera.Constants.Type.front}
            onFacesDetected={handleFacesDetected}
            faceDetectorSettings={{ mode: FaceDetector.Constants.Mode.fast }}
        />
    );
}

4. Matching a Face with a Stored Image

Step 1: Capture a User’s Face for Registration

Modify UserRegistration.js:

const registerUserFace = async (imageUri) => {
    await AsyncStorage.setItem('registeredFace', imageUri);
    alert('Face registered successfully!');
};

Step 2: Compare Faces for Authentication

Modify FaceAuth.js:

import * as ImageManipulator from 'expo-image-manipulator';
import AsyncStorage from '@react-native-async-storage/async-storage';

const authenticateFace = async (capturedImage) => {
    const storedFace = await AsyncStorage.getItem('registeredFace');

    if (!storedFace) return alert('No registered face found.');

    const similarityScore = compareFaces(storedFace, capturedImage);
    if (similarityScore > 0.8) {
        alert('Authentication successful!');
        onAuthenticate(true);
    } else {
        alert('Face not recognized.');
    }
};

5. Implementing Face Lock for Premium Features

Modify AvatarCustomization.js:

import FaceAuth from './FaceAuth';

export default function AvatarCustomization({ onUpdate }) {
    const [isAuthenticated, setIsAuthenticated] = useState(false);

    return (
        <View>
            {isAuthenticated ? (
                <Picker ... /> // Customization options
            ) : (
                <FaceAuth onAuthenticate={setIsAuthenticated} />
            )}
        </View>
    );
}

6. Implementing Privacy & Data Protection

Avoid storing face data on servers – keep it local.
Encrypt stored face data using expo-secure-store:

expo install expo-secure-store

Modify FaceAuth.js:

import * as SecureStore from 'expo-secure-store';

const saveFaceData = async (faceData) => {
    await SecureStore.setItemAsync('faceData', JSON.stringify(faceData));
};

const getFaceData = async () => {
    return JSON.parse(await SecureStore.getItemAsync('faceData'));
};

Allow users to delete their stored face data:

const deleteFaceData = async () => {
    await SecureStore.deleteItemAsync('faceData');
    alert('Face data deleted.');
};

7. Testing Face Authentication

Step 1: Start the App

expo start

Step 2: Register a Face

  • Capture a face image.
  • Store it for future authentication.
See also  Exploring Advanced Uses of BitWasp in PHP for Bitcoin Development

Step 3: Authenticate

  • Restart the app.
  • Check if the face unlocks premium features.

8. Optimizing Face Recognition Performance

Reduce Processing Load

faceDetectorSettings={{ detectLandmarks: FaceDetector.Constants.Landmarks.none }}

Use WebAssembly Backend for Faster Computation

tf.setBackend('wasm');

9. Key Concepts Covered

✅ Added face authentication for unlocking features.
✅ Implemented secure local face storage.
✅ Applied privacy measures for face data protection.


10. Next Steps: Preparing for Deployment

Tomorrow, we’ll:
🔹 Optimize app size for production.
🔹 Publish the app to Google Play & App Store.


11. References & Learning Resources


12. SEO Keywords:

React Native face authentication, AI face unlock mobile app, secure AI avatars, real-time face recognition, privacy in AI face detection.

Comments

No comments yet. Why don’t you start the discussion?

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.