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Gesture Control System using OpenCV

This project is a gesture control system that uses OpenCV to recognize hand gestures and perform actions based on them. It allows users to control a computer or any other device using hand movements.

Features

  • Hand gesture recognition: The system uses computer vision techniques to detect and recognize hand gestures in real-time.
  • Gesture-based control: Users can perform various gestures to control different actions, such as moving the cursor, clicking, scrolling, etc.
  • Customizable gestures: The system allows users to define their own gestures and associate them with specific actions.
  • Real-time feedback: The system provides visual feedback to the user, showing the detected hand and recognized gestures in real-time.

Installation

  1. Clone the repository: git clone https://github.com/thatsabhishek/Gesture-Control-System.git
  2. Install the required dependencies: pip install -r requirements.txt
  3. Run the main script: python main.py

Usage

  1. Launch the application.
  2. Position your hand in front of the camera.
  3. Perform the desired gesture to control the corresponding action.
  4. Enjoy the gesture-based control of your device!

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

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

License

This project is licensed under the MIT License.

Acknowledgements

  • OpenCV - Open Source Computer Vision Library
  • Python - Programming Language

Contact

For any questions or inquiries, please contact eMail.

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