Flutter Face Detection

A simple Flutter application that uses machine learning to detect faces in real-time using your device's camera.

Features

• Real-time face detection
• Marks detected faces with bounding boxes

Requirements

• Flutter SDK 3.0.0 or higher
• Dart 2.17.0 or higher
• Android Studio / VS Code
• A physical device with camera (emulators may not work properly with camera features)

Installation

1. Clone this repository

   git clone https://github.com/krissphi/simple-flutter-face-detection.git

2. Navigate to the project directory

   cd simple-flutter-face-detection

3. Install dependencies

   flutter pub get

4. Run the app

   flutter run

Dependencies

This app uses the following packages:

• camera: ^0.10.6 - For accessing the device camera
• permission_handler: ^12.0.0+1 - For handling camera permissions
• path_provider: ^2.1.1 - For saving face images
• provider: ^6.1.2 - For state management
• google_mlkit_face_detection: ^0.13.1 - For face detection capabilities

Add these to your pubspec.yaml:

dependencies:
  flutter:
    sdk: flutter
  permission_handler: ^12.0.0+1
  path_provider: ^2.1.1
  camera: ^0.10.6
  provider: ^6.1.2
  google_mlkit_face_detection: ^0.13.1

Setup

Android

1. Add camera permission to android/app/src/main/AndroidManifest.xml:

   <uses-permission android:name="android.permission.CAMERA" />

iOS

1. Add camera usage description to ios/Runner/Info.plist:

   <key>NSCameraUsageDescription</key>
   <string>This app needs camera access to detect faces</string>

Usage

1. Launch the app
2. Grant camera permissions when prompted
3. Point your camera at faces to see detection in action

Basic Implementation

// Example code for initializing face detection
final faceDetector = GoogleMlKit.vision.faceDetector(
  FaceDetectorOptions(
    enableClassification: true,
    enableLandmarks: true,
    enableContours: true,
    enableTracking: true,
  ),
);

// Process image and detect faces
Future<List<Face>> processImage(InputImage inputImage) async {
  return await faceDetector.processImage(inputImage);
}

To Do

• Capture and save image
• More toggle options (face count, face landmarks, face classification)
• Improve UI
• Improve Code

Troubleshooting

Common issues and solutions:

1. Camera permission denied

   • Go to your device settings and enable camera permission for the app

2. App crashes on startup

   • Ensure your device meets the minimum requirements
   • Try reinstalling the app

3. Face detection not working

   • Ensure good lighting conditions
   • Hold the phone steady
   • Make sure faces are clearly visible

4. Camera orientation issue

   • use camera version 0.10.6 (0.11.0 and above has orientation and mirroring issues)

Acknowledgements

• Flutter Camera Plugin for the camera implementation
• Google ML Kit Face Detection for the face detection implementation