Welcome to the Login System with Face Recognition project. This project provides a secure login system using face recognition for employee access. It includes an admin panel for employee registration and login management.
This project is implemented in Python and uses various libraries and modules. Before getting started, make sure to install the required dependencies:
cv2: OpenCV for video capture.pymysql: To connect to a MySQL database.numpy: For numerical operations.tkinter: GUI library for the user interface.face_recognition: For face recognition functionality.playsound: For playing voice notifications.multiprocessing: For handling audio processes in parallel.
- Employee login via face recognition.
- Admin panel for employee registration.
- Secure database storage of employee information.
- Voice notifications for successful logins.
- Clone this repository to your local machine.
- Install the required modules as mentioned in the "Modules to Install" section.
- Set up a MySQL database with the appropriate credentials and update them in
credentials.py. - Prepare employee face data and store it using
encode_faces()fromvideoStream.py. - Run the project by executing
login_system.py.
- Start the application by running
login_system.py. - Click on the "Login" button to log in using face recognition.
- Click on the "Register" button to access the admin panel.
- In the admin panel, register new employees with their details.
- The system will recognize registered employees and allow access.
We welcome contributions! If you'd like to enhance or fix issues in this project, please follow these steps:
- Fork this repository.
- Create a branch with your feature or bug fix:
git checkout -b your-feature. - Commit changes:
git commit -m 'Added new feature'. - Push to the branch:
git push origin your-feature. - Create a pull request.
This project is licensed under the MIT License. See the LICENSE file for details.
- Thanks to the python Open source developers for providing modules making developing in python easy.