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FaceNet Android is an on-device face recognition app that performs face recognition by comparing FaceNet embeddings against a vector database. This guide will help you set up and configure the app.

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Installation

Download the latest APK from the GitHub Releases page. Alternatively, you can build the app from source:
1

Clone the repository

git clone --depth=1 https://github.com/shubham0204/OnDevice-Face-Recognition-Android
2

Open in Android Studio

Open the project in Android Studio and perform a Gradle sync.
3

Run the app

Connect your Android device or start an emulator, then run the application.

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Permissions

When you first launch the app, you’ll need to grant camera permissions. The app cannot function without camera access as it performs real-time face recognition on the camera feed.
Camera permissions are required for the app to work. Without them, face recognition cannot be performed.

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Next steps

Once you’ve installed the app and granted permissions:
  1. Add faces to the database to create your recognition dataset
  2. Start recognizing faces in real-time using the camera
  3. Configure advanced options to optimize performance

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