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:

   git clone https://github.com/codewithdark-git/Attendance-Management-System.git
   cd Attendance-Management-System

2. Install the required packages:

   pip install -r requirements.txt

3. Initialize the database:

   python -c "from models import create_tables; create_tables()"

Usage

Run the main application:

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:

   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:

   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:

   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 for image processing and face detection.
• Face recognition is implemented using the scikit-learn 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.