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CAM BOARD

Welcome to the CAM BOARD project! This project leverages computer vision and hand-tracking technology to create a virtual drawing board using a webcam. Users can draw on the screen using different colors simply by moving their hands in front of the camera. The project utilizes OpenCV for image processing, MediaPipe for hand-tracking, and Python for implementation.

Table of Contents

Overview

CAM BOARD is an interactive application that enables users to draw on a virtual canvas by detecting their hand movements in real-time through a webcam. The project is designed to be user-friendly and includes features such as multiple color selections and a clear screen functionality.

Features

  • Real-time Hand Tracking: Detect and track hand movements using the webcam.
  • Drawing Functionality: Draw on the virtual canvas with your hand.
  • Multiple Colors: Switch between different colors (blue, green, red, yellow) for drawing.
  • Clear Screen: Clear the entire drawing canvas with a gesture.
  • User-friendly Interface: Easy to use with intuitive controls.

Technologies Used

  • Python: Programming language used for implementation.
  • OpenCV: Library for image processing.
  • MediaPipe: Framework for hand-tracking.
  • NumPy: Library for numerical operations.

Installation

To run this project locally, follow these steps:

  1. Clone the repository:

    git clone https://github.com/Sabbir45ali/CAM-Board.git

  2. Navigate to the project directory:

    cd CAM-BOARD

  3. Install the required packages:

    pip install -r requirements.txt

  4. Run the application:

    python cam_board.py

Usage

  1. Start the application:

    • Run the Python script cam_board.py.
    • The webcam feed will open in a new window.

  2. Drawing:

    • Use your index finger to draw on the canvas.
    • Move your hand to the color selection boxes at the top of the screen to switch colors.
    • To clear the screen, move your hand to the "CLEAR" box.

  3. Close the application:

    • Press the 'q' key to exit the application.

Contributing

We welcome contributions to enhance the CAM BOARD project. If you have suggestions or find any issues, please follow these steps:

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

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

We would like to thank the open-source community for the invaluable resources and libraries that made this project possible. Special thanks to our mentors and peers for their support and feedback.