https://github.com/tharushaudana/flutter_face_auth

This Flutter project implements face authentication using the FaceNet512 model, storing face data (as Float32 arrays) and names in Firebase Firestore. It allows users to capture and store their face data for subsequent identification, predicting identities based on cosine similarity.
https://github.com/tharushaudana/flutter_face_auth

face-authentication facenet-model firebase flutter machine-learning tensorflow-lite

Last synced: 2 days ago
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This Flutter project implements face authentication using the FaceNet512 model, storing face data (as Float32 arrays) and names in Firebase Firestore. It allows users to capture and store their face data for subsequent identification, predicting identities based on cosine similarity.

• Host: GitHub
• URL: https://github.com/tharushaudana/flutter_face_auth
• Owner: tharushaudana
• Created: 2023-11-22T12:26:29.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-06-28T05:22:08.000Z (5 months ago)
• Last Synced: 2024-06-29T05:47:25.983Z (5 months ago)
• Topics: face-authentication, facenet-model, firebase, flutter, machine-learning, tensorflow-lite
• Language: Dart
• Homepage:
• Size: 44 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Face Authentication Application

This Flutter project implements face authentication using the FaceNet512 model, storing face data (as Float32 arrays) and names in Firebase Firestore.

## Features

- **FaceNet512 Model**: Utilizes the FaceNet512 model to encode facial features.

- **Firebase Firestore Integration**: Stores face data (as a Float32 array of length 512) and corresponding names (as strings) in Firestore.

- **Face Data Loading**: Loads all face data from Firestore upon app launch.

- **Face Data Storage**: Allows users to capture their face and store the data in Firestore.

- **Face Prediction**: Predicts the user's identity by comparing the captured face data with the stored data using cosine similarity.

## Dependencies

- camera: ^0.10.5+5

- google_mlkit_face_detection: ^0.9.0

- image: ^3.0.2

- tflite_flutter: ^0.10.3

- cloud_firestore: ^4.13.2

- firebase_core: ^2.23.0

## Screenshots

### App Interface

![App Interface](screenshots/01.jpg)

### Predicted Page

![Predicted Page](screenshots/02.jpg)

### Data Storage in Firestore

![Data Storage in Firestore](screenshots/03.png)

## Purpose

This application aims to assist in mobile face authentication purposes, leveraging advanced face recognition technology and cloud storage.

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I hope this project helps you in implementing mobile face authentication functionalities efficiently.