Vision-Mouse-AI

This script enables control of the computer mouse using hand gestures detected through a webcam. It utilizes the following technologies:

• OpenCV (cv2): For capturing video from the webcam and processing frames.
• MediaPipe (mediapipe): To detect hand landmarks in real-time.
• PyAutoGUI: For controlling the mouse cursor and simulating clicks.

Requirements

• Python 3.x
• Libraries: cv2, mediapipe, pyautogui

Setup and Usage

1. Install Dependencies:

pip install opencv-python mediapipe pyautogui

2. Run the Script:

3. Hand Gestures:

• Right Hand:
  • Cursor Movement: Use the central point between wrist and middle finger MCP.
  • Left Click: Bring thumb and index finger close (within 50 pixels).
• Left Hand:
  • Right Click: Bring thumb and index finger close (within 50 pixels).

4. Keyboard Commands:

• Press 'q' to exit the program.

Functionality

• The script initializes the webcam and detects hand landmarks using MediaPipe.
• It calculates the central point of the hand for mouse cursor control.
• Hand gestures are interpreted to perform left and right clicks using PyAutoGUI.
• Optionally, it displays the webcam feed with overlaid hand landmarks.

Notes

• Adjust min_detection_confidence in mp.solutions.hands.Hands for better landmark detection as per lighting conditions.
• Ensure proper lighting and clear hand visibility for optimal performance.