A smart attendance tracking system using face recognition technology.
The Face Recognition Attendance System is a powerful and efficient solution for automating attendance tracking using facial recognition technology. This system can identify individuals, record their attendance, and store the data securely in a database. It offers a user-friendly interface and can be used in various settings, such as schools, workplaces, and events, to streamline attendance management.
Contributions are welcome! If you'd like to contribute to this project, please follow these steps:
- Fork the repository.
- Create a new branch.
- Make your changes and commit them.
- Push to your forked repository.
- Create a pull request.
- Please read our Contribution Guidelines for more details.
- Face detection and recognition using webcam or external camera.
- Database integration for storing face data and attendance records.
- Automatic attendance recording with date and time stamps.
- Hands-free addition of new faces to the recognition database.
- User-friendly interface for easy operation.
Check out our demo video here to see the Face Recognition Attendance System in action.
This project is licensed under the MIT License. See the LICENSE file for details.
For inquiries and support, please contact:
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Om Shankar Thakur Email:[email protected]
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Saransh Kumar Email: [email protected]
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Danyal Habib Email: [email protected]
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Amber Bagchi Email: [email protected]