This project creates a virtual mouse that can be controlled using hand gestures detected by a webcam. The AI Virtual Mouse utilizes computer vision techniques for hand tracking and gesture recognition to control mouse movements and perform actions such as clicks. It provides a hands-free interface for controlling the mouse using a camera.
- Hand tracking using MediaPipe.
- Gesture recognition for mouse movements and actions.
- Real-time mouse control using hand gestures like:
- Moving the mouse pointer.
- Left click with a pinching gesture.
- Mouse scroll with specific gestures.
- OpenCV: For real-time video capture and image processing.
- MediaPipe: For hand detection and tracking.
- PyAutoGUI: To simulate mouse actions like movement and clicks.
- Numpy: For numerical operations and processing coordinates.
- Hand Tracking: The webcam captures frames which are processed using MediaPipe to detect and track hands.
- Gesture Recognition: The hand landmarks provided by MediaPipe are analyzed to identify gestures (e.g., pinching fingers for clicking, moving the index finger to move the cursor).
- Mouse Control: The recognized gestures are used to simulate mouse movements and actions using PyAutoGUI.
- Python 3.x
- A webcam
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