flutter_face_detector #

A Flutter plugin that integrates Google Edge AI (MediaPipe Tasks Vision) for on-device face detection.
This package provides a simple and efficient interface for running real-time face detection directly on Android and iOS devices — no cloud connection required.

🆕 Release Notes #

0.0.7 #

• Clean up pubspec file
• Remove misleading information from README.md

0.0.5 - Dart format #

• Fix dart format issue

0.0.4 - Downgrade iOS min deployment SDK #

• upgrade ios min sdk to 13

0.0.3 - Improve example #

• Updated example app to simulate a real KYC ID verification workflow.
• Enhanced UI/UX with clearer confidence feedback and upload button logic.
• Improved confidence parsing (supports values like "92.61%").
• Added visual styling and status indicators for different detection levels.

0.0.2 – Stable Preview Update #

• Fixed package metadata and pubspec formatting for pub.dev compliance.
• Added full README, CHANGELOG, and LICENSE files.
• Updated Android Gradle and Kotlin versions for build stability.
• Improved face detection API wrapper with more robust error handling.
• Verified compatibility with Flutter 3.24+ and Android 14 (API 34).
• Deprecated the previous misuploaded version 0.0.1.

✨ Features #

• 🚀 Edge AI powered: Uses MediaPipe Tasks Vision for high-performance local inference
• 📸 Detect faces from images (Uint8List or file input)
• 🧠 Returns detection confidence and inference time
• 💡 Fully offline, no data leaves the device
• 🔧 Easy integration with Flutter apps
• ⚙️ Works seamlessly with custom image pickers (e.g., wechat_assets_picker)

📱 Platform Support #

🧠 Example KYC Simulation #

In the included example app, users select an image for face verification.
The app analyzes the face and displays an appropriate UI response depending on confidence level:

Confidence Range	Status Message	Example Image
≤0.2	完全不像人臉呀
0.2–0.8	你確定是證件照嗎？ / 臉部辨識不出來
≥0.8	可上傳

🧩 Installation #

Add the following line to your pubspec.yaml:

dependencies:
  flutter_face_detector: ^0.0.3