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https://github.com/huypham85/facenet-recognization-ios
My graduation thesis project, awarded a 9.5/10, involved creating a student attendance management system for iOS devices that utilizes FaceNet facial recognition model for efficient and secure attendance tracking.
https://github.com/huypham85/facenet-recognization-ios
attendance-management-system face-attendance face-recognition facenet-model ios objective-c
Last synced: about 2 months ago
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My graduation thesis project, awarded a 9.5/10, involved creating a student attendance management system for iOS devices that utilizes FaceNet facial recognition model for efficient and secure attendance tracking.
- Host: GitHub
- URL: https://github.com/huypham85/facenet-recognization-ios
- Owner: huypham85
- Created: 2023-10-05T17:50:21.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-07-11T17:30:30.000Z (6 months ago)
- Last Synced: 2024-10-13T17:41:25.373Z (3 months ago)
- Topics: attendance-management-system, face-attendance, face-recognition, facenet-model, ios, objective-c
- Language: Swift
- Homepage:
- Size: 80.5 MB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Class Attendance App
## Project Overview
This project involves the development of a student attendance management system for iOS devices. The system leverages the FaceNet facial recognition model and Bluetooth Low Energy (BLE) technology to ensure efficient, secure, and reliable attendance tracking.
## Features
- **Facial Recognition**: Utilizes the FaceNet model for accurate facial identification.
- **Bluetooth Low Energy (BLE)**: Ensures students are within close proximity to the teacher's device for attendance check-in.
- **iOS Application**: User-friendly app for both students and teachers to manage attendance.
- **Admin Web Interface**: Web platform for admin to manage classes, users, and approve face registration requests.
## Key Technologies
- **FaceNet**: Facial recognition model developed by Google.
- **BLE (Bluetooth Low Energy)**: Ensures proximity between devices for attendance check-in.
- **Firebase**: Backend services for real-time database, authentication, and storage.
- **iOS Development**: UIKit, Swift.
- **Machine Learning**: Pre-trained model for facial recognition.
## Key Achievements
- **High Accuracy**: The system identifies students with approximately 95% accuracy.
- **Fast Processing**: Attendance check-in takes around 0.25 seconds per student.
- **Flexible Check-In**: Students can check in via their own devices, increasing convenience and reducing the need for a fixed check-in device.
## How to Use
1. **Register**: Students and teachers need to register and get approval for their facial data.
2. **Check-In**: Students can check in to their classes by simply being in close proximity to the teacher's device and having their face recognized by the app.
## Setup and Installation
### Prerequisites
- **Xcode**: Version 11 or later.
- **Swift**: Version 5.1 or later.
- **Cocoapods**: To manage dependencies.
### Installation
1. **Clone the repository**:
```bash
git clone https://github.com/yourusername/class-attendance-app.git
cd class-attendance-app
```
2. **Install dependencies**:
```bash
pod install
```
3. **Open the project in Xcode**:
```bash
open ClassAttendanceApp.xcworkspace
```
4. **Build and run the project**:
Select your target device or simulator and press `Cmd + R` to build and run the project.
## Usage
1. **Register and Login**:
- Open the app and register as a student or teacher.
- Admin will approve the registration request.
2. **Face Registration**:
- Take a clear picture of your face for recognition.
- Admin will approve the face registration.
3. **Attendance Check-In**:
- Open the app and ensure you are close to the teacher’s device.
- The app will automatically recognize your face and mark your attendance.
## Architecture
### iOS App
- **UIKit**: For building the user interface.
- **FaceNet**: For facial recognition.
- **BLE**: For proximity detection.
- **Firebase**: For real-time database, authentication, and storage.
### Admin Web Interface
- **React**: For building the web interface.
- **Firebase**: For backend services.
## Screenshots
## Contribution
Contributions are welcome! Please follow these steps:
1. Fork the repository.
2. Create a new branch:
```bash
git checkout -b feature-branch
```
3. Make your changes and commit them:
```bash
git commit -m "Description of your changes"
```
4. Push to the branch:
```bash
git push origin feature-branch
```
5. Create a pull request.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Acknowledgments
Special thanks to all contributors and the developer community for their valuable feedback and contributions.