AirCanvas

AirCanvas is a virtual drawing application that uses computer vision and hand gesture recognition to enable touch-free drawing. Users can select colors and draw on a canvas using only their hands, captured through a webcam.

Key Components

1. Imports OpenCV (cv2): For capturing webcam feed and processing frames. NumPy (np): For handling numerical operations. Mediapipe: For hand tracking and gesture detection. Deque (from collections): For managing color-specific points in the drawing queue.
2. Initialization Separate deques for different color points. Color and index initialization for easy switching between colors. Configured canvas (paintWindow) with color selection buttons for clear, blue, green, red, and yellow.
3. Mediapipe Setup Uses Mediapipe’s hand tracking for detecting hand landmarks and interpreting gestures.
4. Webcam Feed Captures frames from the webcam, flips them for a mirrored view, and processes them in real-time.
5. Main Drawing Loop Processes each frame to detect hand landmarks. Uses finger positions to interpret gestures for: Color Selection: Switch colors based on finger position over the color buttons. Clear Canvas: Erase the canvas by selecting the "CLEAR" button. Drawing: Tracks finger movement to draw lines on the canvas.
6. Display Output Displays the live drawing and color selection interface in separate OpenCV windows.
7. Termination Press the q key to exit, releasing the webcam and closing all windows.

Usage

1. Run the Script: Ensure you have the required libraries and launch the script.
2. Interact with the Interface: Use hand gestures to draw, change colors, or clear the canvas.
3. Exit: Press q to close the application.