XPersonaScan

XPersonaScan is a web-based face recognition attendance system built using Flask, OpenCV, Dlib, Sql server and Ngrok tunnel. It allows users to capture faces, train the recognition model, and mark attendance through a web interface.

${{\color{red} Creator}}\ Prince\ Katiyar$

Features

• Capture Faces: Allows users to capture faces using their webcam.
• Train Model: Trains the face recognition model using captured images.
• Recognize Faces: Recognizes faces in real-time and marks attendance.
• Web Interface: Accessible from any device with a web browser.

Installation

1. Clone the repository: https://github.com/LxaNce-Hacker/XPersonaScan

2. Install the required dependencies: pip install -r requirements.txt

3. Run the Flask application: python app.py

4. Run the ngrok tunnel to access globally

5. Open a web browser and navigate to https://<ngrok_url> to access XPersonaScan from any where and in any device.

Usage

• Capture Faces: Click the "Capture Faces" button to start capturing faces. Enter the person's name when prompted.
• Train Model: Click the "Train Faces" button to train the face recognition model using the captured images.
• Recognize Faces: Click the "Start Recognition" button to recognize faces in real-time and mark attendance.

License

This project is licensed under the MIT License.

Credits

• OpenCV
• Dlib
• Flask

Collaborators

• Prince Katiyar [ Creator ]
• Vivek Singh
• Yash Pathak

Contributing

Contributions are welcome! Please fork the repository and create a pull request with your changes.

Support

If you encounter any issues or have any questions, please open an issue on the GitHub repository.