face_plugin 0.0.1

Face detection and feature extraction plugin using MobileFaceNet for Android and iOS. Provides 128-dimensional face feature vectors for face recognition and comparison.

Changelog

All notable changes to this project will be documented in this file.

0.0.1 - 2026-04-07

Added

• Initial release of face_plugin
• Face detection with bounding boxes and facial landmarks (5 key points)
• Feature extraction using MobileFaceNet (128-dimensional vectors)
• Complete Android implementation (Java + TensorFlow Lite 2.14.0)
• Complete iOS implementation (Swift + TensorFlow Lite 2.14.0)
• Cross-platform API through Method Channel
• Comprehensive documentation (README, QUICK_START, MODEL_GUIDE, PROJECT_SUMMARY)
• Example application with UI demonstration
• Support for image preprocessing (resize to 112x112, normalization)

Features

• detectFaces(Uint8List imageBytes) - Detect faces in images
• extractFeatures(Uint8List imageBytes) - Extract 128-D feature vectors
• Face model with bounding boxes, 5 facial landmarks, and confidence scores

Platform Support

• Android: minSdk 21 (Android 5.0+)
• iOS: 12.0+
• Flutter: >=3.3.0

Dependencies

• TensorFlow Lite 2.14.0 for both platforms
• plugin_platform_interface ^2.0.2

Notes

• Current implementation uses simplified face detection (for demonstration)
• For production, integrate professional face detection (ML Kit, MTCNN, Vision Framework)
• Feature extraction is production-ready using MobileFaceNet
• Requires mobilefacenet.tflite model file (not included, see MODEL_GUIDE.md)