Hand Gesture Volume Control

Overview

This project enables users to control the system volume using hand gestures. It utilizes OpenCV for real-time hand tracking, Mediapipe for hand landmark detection, and Pycaw for audio control.

Features

• Adjust system volume using finger distance
• Uses a green rectangle (detection box) to limit gesture recognition area
• Displays real-time volume percentage on the screen

Requirements

Ensure you have the following installed:

• Python 3.x
• OpenCV (cv2)
• Mediapipe
• Pycaw (for audio control)

Install dependencies using:

pip install opencv-python mediapipe pycaw numpy comtypes

Setup

1. Clone this repository:

   git clone https://github.com/your-username/hand-gesture-volume-control.git
   cd hand-gesture-volume-control

2. Run the script:

   python main.py

Usage

1. The script will open a webcam window.
2. Place your hand inside the green rectangle (box) for detection.
3. Move your index finger and thumb closer or farther apart to adjust volume:
   • Increase volume: Spread fingers apart
   • Decrease volume: Bring fingers closer
4. The current volume percentage will be displayed on the screen.
5. Press q to exit.

How It Works

• The script captures video from the webcam.
• It detects hand landmarks using Mediapipe Hands.
• If the index finger tip and thumb tip are inside the predefined green box, their distance is calculated.
• This distance is mapped to the system volume range using Pycaw.
• The volume is updated in real-time based on finger movements.

Future Improvements

• Improve hand tracking accuracy
• Add gesture-based mute/unmute functionality
• Extend support for other media controls (e.g., play/pause)

Contributing

Feel free to fork this repository and submit pull requests. Contributions are welcome!

License

MIT License. See LICENSE for details.