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Introducing Airboard, a hand detection system that lets you write on virtual whiteboards with your hand movements. Using ML and CV, Airboard detects and tracks hands in real-time for natural whiteboard use at home, in the classroom, or conference rooms.

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Airboard - Hand Detection Whiteboard

Airboard is an innovative hand detection system that allows you to write, draw and express your ideas with the natural movement of your hands on a virtual whiteboard.

Features

  • Real-time hand detection and tracking using state-of-the-art Machine Learning algorithms and Computer Vision techniques
  • Write on a virtual whiteboard using your hands
  • Support for multiple colors
  • Clear screen feature
  • Easy to use and customize

Requirements

  • Python 3.6 or higher
  • OpenCV
  • Numpy
  • (other dependencies as needed)

Usage

The application window will show the live webcam feed with the hand detection, simply move your hand to write on the virtual whiteboard. You can also change the pen color and clear the screen by using the respective buttons on the screen.

Limitations

  • Detection may not work properly in case of low lighting or complex backgrounds.

Contributions

Feel free to contribute to this project by submitting pull requests or reporting bugs.

Screenshot (76) Screenshot (77) Screenshot (79)

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Introducing Airboard, a hand detection system that lets you write on virtual whiteboards with your hand movements. Using ML and CV, Airboard detects and tracks hands in real-time for natural whiteboard use at home, in the classroom, or conference rooms.

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  • Python 100.0%