Harpreet8920 / Attendance_System

Attendance_System

Attendance System using Face Recognition

This project implements an attendance system using face recognition technology. The system captures video input from a webcam, recognizes known faces, and logs attendance with timestamps into a CSV file.

Table of Contents

• Features
• Requirements
• Files
• Known Issues
• Future Improvements
• Contributing

Features

• Real-time face recognition using webcam input.
• Attendance logging with timestamps.
• CSV file generation for each day's attendance.
• Text overlay on the video feed indicating recognized individuals.

Requirements

• Python 3.x
• face_recognition library
• opencv-python library
• numpy library

Files

• attendance_system.py: Main script for running the attendance system.
• faces/: Directory containing images of known individuals.
• README.md: Documentation for the project.

Known Issues

• The system may not recognize faces accurately in poor lighting conditions.
• The accuracy of face recognition may decrease with a larger number of known faces.

Future Improvements

• Add support for more robust logging with additional details such as entry and exit times.
• Implement an interface for adding new faces dynamically.
• Improve face recognition accuracy by using advanced models and techniques.
• Add functionality to handle multiple cameras.

Contributing

Contributions are welcome! Please follow these steps to contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature-branch).
6. Open a pull request.