📸 Face Detector POC – React Native Vision Camera

This is a Proof of Concept (POC) showcasing real-time face detection in a React Native app using react-native-vision-camera and the react-native-vision-camera-face-detector plugin.

It demonstrates how to use Frame Processors with Worklets Core for efficient on-device ML face detection.

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🚀 Features

• 🔍 Detects faces in real-time
• 🧑‍🤝‍🧑 Supports multiple faces simultaneously
• 🎯 Provides face bounds, landmarks, and contours
• ⚡ 100% on-device ML (works offline)
• 📱 iOS & Android supported
• ✅ Compatible with React Native New Architecture

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🛠️ Tech Stack

• React Native 0.81.4
• react-native-vision-camera ^4.7.2
• react-native-vision-camera-face-detector ^1.8.9
• react-native-worklets-core ^1.6.2

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📦 Installation

1. Install dependencies:

yarn install

2. iOS setup:

cd ios && pod install

3. Android setup:
   Ensure your android/build.gradle has:

minSdkVersion = 24

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⚙️ Babel Config

Your babel.config.js already has Worklets Core enabled:

module.exports = {
  presets: ['module:@react-native/babel-preset'],
  plugins: [['react-native-worklets-core/plugin']],
};

This means you don’t need react-native-reanimated/plugin – everything runs via Worklets Core.

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🧪 Tested On

• ✅ iOS 17+ (Xcode 15.4)
• ✅ Android 13+ (CameraX)

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📌 Notes

• Requires camera permission (Info.plist and AndroidManifest.xml)
• Runs better on physical devices than emulators
• Use fps={5} to balance CPU load

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📄 License

This POC is for demo and learning purposes. MIT License.