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https://github.com/codewithdark-git/attendance-management-system
The Face Recognition Attendance System is a Python-based application that utilizes face recognition technology to track and record attendance for students. The system stores user data, face images, and attendance records in an SQLite database.
https://github.com/codewithdark-git/attendance-management-system
attendance attendance-system csv database face-recognition model pretrained-models python python-script sklearn sql sqlalchemy
Last synced: 12 days ago
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The Face Recognition Attendance System is a Python-based application that utilizes face recognition technology to track and record attendance for students. The system stores user data, face images, and attendance records in an SQLite database.
- Host: GitHub
- URL: https://github.com/codewithdark-git/attendance-management-system
- Owner: codewithdark-git
- License: mit
- Created: 2024-01-19T04:52:08.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-06-23T09:59:29.000Z (6 months ago)
- Last Synced: 2024-11-05T00:25:41.046Z (about 2 months ago)
- Topics: attendance, attendance-system, csv, database, face-recognition, model, pretrained-models, python, python-script, sklearn, sql, sqlalchemy
- Language: Python
- Homepage:
- Size: 2.77 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Attendance System
## Overview
The Face Recognition Attendance System is a Python-based application that utilizes face recognition technology to track and record attendance for students. The system stores user data, face images, and attendance records in an SQLite database.
## Features
- **Face Recognition**: Identify students using face recognition technology.
- **Database Storage**: Store user information, face images, and attendance records in an SQLite database.
- **Attendance Records**: Ensure attendance is recorded at most once per day per subject.
- **Temporary Face Storage**: Temporarily store face images before converting them to Base64 for database storage.
- **Program and Subject Management**: Manage different programs and subjects for accurate attendance tracking.
## Requirements
- Python 3.10+
- OpenCV
- SQLAlchemy
- scikit-learn
- joblib
- numpy
## Installation
1. Clone the repository:
```bash
git clone https://github.com/codewithdark-git/Attendance-Management-System.git
cd Attendance-Management-System
```
2. Install the required packages:
```bash
pip install -r requirements.txt
```
3. Initialize the database:
```bash
python -c "from models import create_tables; create_tables()"
```
## Usage
Run the main application:
```bash
python -m AttendanceSystem.main
```
### Operations
The application supports the following operations:
1. **Add New User**:
- Prompts for user details and captures face images to add a new user to the system.
2. **Start Attendance**:
- Initiates the attendance process for a specified program and subject. Captures face images and records attendance for identified users.
3. **Get Attendance**:
- Retrieves and displays attendance records for a specified program and subject.
4. **Exit**:
- Exits the application.
### Example Workflow
1. **Add New User**:
```bash
Enter operation ('add', 'start', 'get' or 'exit'): add
Enter new user name (format: Firstname_Lastname): John_Doe
Enter new user ID: JD123
Enter Your Program name: BSAI
```
The application will capture face images from the webcam and store them in the database.
2. **Start Attendance**:
```bash
Enter operation ('add', 'start', 'get' or 'exit'): start
Enter Your Program name: BSAI
Enter your Subject for Attendance: Maths
```
The application will use the webcam to identify users and record their attendance.
3. **Get Attendance**:
```bash
Enter operation ('add', 'start', 'get' or 'exit'): get
Enter Your Program name: BSAI
Enter your Subject: Maths
```
The application will display the attendance records for the specified program and subject.
## Project Structure
- `AttendanceSystem/`
- `__init__.py`
- `attendance/`
- `attendance_manager.py`
- `config.py`
- `face_recognition/`
- `face_detection.py`
- `face_identification.py`
- `face_training.py`
- `main.py`
- `models.py`
## Contributing
Contributions are welcome! Please fork the repository and create a pull request with your changes.
## License
This project is licensed under the MIT License. See the `LICENSE` file for details.
## Acknowledgements
- This project uses [OpenCV](https://opencv.org/) for image processing and face detection.
- Face recognition is implemented using the [scikit-learn](https://scikit-learn.org/) library.
```
This README file provides a comprehensive guide to understanding, installing, and using the face recognition attendance system. It covers the project's features, installation steps, usage instructions, and an example workflow.