Air Canvas

• 

  Front Page

• 

  Actual Drawing page

Air Canvas: Draw and Visualize Graphs Using Hand Gestures Inspiration

I was inspired by the idea of creating a touchless drawing experience using computer vision. The goal was to allow users to draw and visualize graphs in the air using only hand gestures.

What I Learned

Through this project, I learned about:

Computer Vision with OpenCV Hand Tracking using MediaPipe Real-time Gesture Recognition Interactive Graph Visualization Building real-time applications in Python How I Built It

I developed the project using Python, OpenCV, MediaPipe, NumPy, and Matplotlib. The webcam captures live video, MediaPipe detects hand landmarks, and fingertip movements are tracked to create drawings and graphs on a virtual canvas.

Challenges

Some challenges included:

Accurate hand detection in different lighting conditions Reducing unwanted strokes from hand movements Maintaining smooth real-time performance Designing reliable gesture controls

Built With

• computer-vision
• hand-gesture-recognition
• mediapipe
• numpy
• opencv
• python
• webcam