Real Time Face Recognition with TfLite

A minimalistic Face Recognition module which can be easily incorporated in any Android project.

Key Features

• Fast and very accurate.
• No re-training required to add new Faces.
• Save Recognitions for further use.
• Real-Time and offline.
• Simple UI.

Tools and Frameworks used:

• Android Studio (Java)
• CameraX
• ML Kit
• TensorFlow Lite

Model

• MobileFaceNet : Research Paper
• Implementation

Installation

Use Import from Version Control in Android Studio or Clone repo and open the project in Android Studio.

git clone https://github.com/AbhinavS99/AbhinavS99-Realtime-Face-Recognition-with-TfLite.git

Application file : Face_Recognition.apk

Usage

1.Add Face	2.Recognize Face

Actions	View Recognitions

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.