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

Abhinav Sharma

Last update: Jun 21, 2022

Overview

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.

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

Related tags

Overview

Real Time Face Recognition with TfLite

Key Features

Tools and Frameworks used:

Model

Installation

Usage

Contributing

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