Motion Detection

Motion Detection is an interactive computer vision project that uses real-time hand gesture recognition to create a touchless user interface for drawing or gaming. The system employs a standard webcam combined with machine learning-based hand tracking (via MediaPipe) to detect and interpret hand movements and gestures. In drawing mode, the user's index finger acts as a virtual pen, allowing them to draw on a digital canvas by simply moving their hand in the air. Various gestures (e.g., open palm, multiple fingers) can be used to change colours, erase drawings, or clear the canvas, simulating the functionalities of a physical drawing tool. In game mode, hand gestures control a player or object within a simple game environment. For example, horizontal hand movements can move a paddle or character, a fist gesture can trigger jumps or attacks, and other gestures can perform in-game actions like pausing or activating power-ups. This project demonstrates the potential of gesture-based interaction in applications such as creative tools, educational games, and assistive technologies. By eliminating the need for physical controllers or touch input, Motion Detection provides a contactless, intuitive, and engaging way to interact with digital systems.