FaceRecognitionFlutter

A new Face Recogniton Flutter project that uses Camera API and TFLite API to simultaneously access the camera and recognize faces in real time.

Getting Started

This project is a starting point for a Flutter application.

A few resources to get you started if this is your first Flutter project:

• Lab: Write your first Flutter app
• Cookbook: Useful Flutter samples

For help getting started with Flutter, view our online documentation, which offers tutorials, samples, guidance on mobile development, and a full API reference.

To get started, you will need to install the following dependencies:

• Flutter
• Firebase
• MobileFaceNet TFLite Model

Once you have installed the dependencies, you can clone the repository and run the following command to start the app:

flutter run

Features

• Face detection
• Face recognition
• Facial data storage in firebase

APIs Used

• Camera API
• TFLite Flutter API
• Firebase ML Vision

You can check how to use these APIs on their API Reference

Screenshots

FaceRecognitionFlutter.mp4

To-Do

• Improve the accuracy of face detection
• Improve the accuracy of face recognition
• Add more features, such as facial expressions recognition

Contact

If you have any questions or suggestions, please feel free to contact me:

• Email: avhishe.adhikary11@gmail.com
• Twitter: @Avhishek007

License

This project is licensed under the MIT License.