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This project demonstrates a hand gesture recognition system developed using the Mediapipe library in Python. By analyzing the distance between thumb and index finger tips, the system enables control of system volume through intuitive gestures, enhancing user interaction with the computer.

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Arya920/Volume_Control_Using_hand_gesture

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AIR-VOLUME: Controlling System Volume using Hand Gesture Recognition System

Gesture Demo

Requirements

  • Python 3.x
  • cv2
  • mediapipe
  • pyautogui

How to Use

  1. Clone the repository:

    git clone https://github.com/yourusername/hand-gesture-recognition.git
    cd hand-gesture-recognition
    
  2. Installed Required Libraries: pip install opencv-python mediapipe pyautogui

3.Run the HTM.py script to start the hand gesture recognition system: python hand_gesture_recognition.py

  1. A video feed from your webcam will open up, and the hand gestures will be recognized in real-time.

Technologies Used

  • Python
  • OpenCV
  • Mediapipe
  • PyAutoGUI

Acknowledgements

  • The project was inspired by the Mediapipe library and its hand tracking capabilities.
  • Special thanks to the Mediapipe team for their contributions to open-source computer vision.

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This project demonstrates a hand gesture recognition system developed using the Mediapipe library in Python. By analyzing the distance between thumb and index finger tips, the system enables control of system volume through intuitive gestures, enhancing user interaction with the computer.

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