Real Time Face Recognition Android Save

Real-Time Face Recognition App using Tensorflow Lite

Project README

Real Time Face Recognition App using TfLite

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

Playstore Link

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

Installation

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

git clone https://github.com/atharvakale31/Face_Recognition_Android.git

Application file : Face_Recognition.apk

Usage

1.Add Face 2.Import Face 3.Recognize Face
Actions View Recognitions Update Recognitions

Contributing

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

Action Items

  • Improve Performance(Code Optimization)
  • Auto face orientation for Import Photo Action.
  • iOS application
Open Source Agenda is not affiliated with "Real Time Face Recognition Android" Project. README Source: atharvakale31/Real-Time_Face_Recognition_Android

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