{"id":18995031,"url":"https://github.com/sabbir45ali/cam-board","last_synced_at":"2026-04-14T06:32:17.388Z","repository":{"id":242424998,"uuid":"809509822","full_name":"Sabbir45ali/CAM-Board","owner":"Sabbir45ali","description":"This is Python based project which is a virtual board and we write there using our finger and clear it and color changing. 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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.\n\n## Table of Contents\n- [Overview](#overview)\n- [Features](#features)\n- [Technologies Used](#technologies-used)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Contributing](#contributing)\n- [License](#license)\n- [Acknowledgements](#acknowledgements)\n\n## Overview\nCAM 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.\n\n## Features\n- **Real-time Hand Tracking**: Detect and track hand movements using the webcam.\n- **Drawing Functionality**: Draw on the virtual canvas with your hand.\n- **Multiple Colors**: Switch between different colors (blue, green, red, yellow) for drawing.\n- **Clear Screen**: Clear the entire drawing canvas with a gesture.\n- **User-friendly Interface**: Easy to use with intuitive controls.\n\n## Technologies Used\n- **Python**: Programming language used for implementation.\n- **OpenCV**: Library for image processing.\n- **MediaPipe**: Framework for hand-tracking.\n- **NumPy**: Library for numerical operations.\n\n## Installation\nTo run this project locally, follow these steps:\n\n1. **Clone the repository**:\n    ```bash\n    git clone https://github.com/Sabbir45ali/CAM-Board.git\n    ```\n\n2. **Navigate to the project directory**:\n    ```bash\n    cd CAM-BOARD\n    ```\n\n3. **Install the required packages**:\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n4. **Run the application**:\n    ```bash\n    python cam_board.py\n    ```\n\n## Usage\n\n1. **Start the application**:\n    - Run the Python script `cam_board.py`.\n    - The webcam feed will open in a new window.\n\n2. **Drawing**:\n    - Use your index finger to draw on the canvas.\n    - Move your hand to the color selection boxes at the top of the screen to switch colors.\n    - To clear the screen, move your hand to the \"CLEAR\" box.\n\n3. **Close the application**:\n    - Press the 'q' key to exit the application.\n\n## Contributing\nWe welcome contributions to enhance the CAM BOARD project. If you have suggestions or find any issues, please follow these steps:\n\n1. **Fork the repository**.\n2. **Create a new branch**:\n    ```bash\n    git checkout -b feature/YourFeature\n    ```\n3. **Commit your changes**:\n    ```bash\n    git commit -m 'Add some feature'\n    ```\n4. **Push to the branch**:\n    ```bash\n    git push origin feature/YourFeature\n    ```\n5. **Open a pull request**.\n\n## License\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgements\nWe 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.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsabbir45ali%2Fcam-board","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsabbir45ali%2Fcam-board","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsabbir45ali%2Fcam-board/lists"}