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Gesture-Based Volume Control

Platform Python License Code style: Black

Control your system volume with hand gestures using computer vision and hand tracking technologies.

Overview

Volume-control-using hand gesture

This project enables users to control system volume using intuitive hand gestures. By leveraging computer vision and hand tracking, we've created a touchless interface that adjusts volume based on the distance between your thumb and index finger. This solution enhances accessibility and provides an innovative approach to user interaction.

Tech Stack

  • Python 3
  • OpenCV: For capturing video frames and image processing
  • Mediapipe: For real-time hand detection and tracking
  • PyCaw: For interacting with system audio settings
  • NumPy: For numerical operations and interpolation
  • Custom HandTrackingModule: A purpose-built module for advanced hand tracking features

Key Features

  • 🎮 Gesture-Based Volume Control: Adjust system volume by changing the distance between thumb and index finger
  • 🔍 Real-time Hand Detection: Instant hand gesture recognition using Mediapipe
  • 📊 Smooth Transition: Optimized gesture recognition for fluid volume adjustments
  • 🛠️ Custom HandTrackingModule: Enhanced capabilities for finger tracking and gesture recognition

Getting Started

Prerequisites

  • Computer with a webcam
  • Python 3.x installed

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/gesture-volume-control.git

  2. Navigate to the project directory:

    cd gesture-volume-control

  3. Install required dependencies:

    pip install -r requirements.txt

Running the Tool

  1. Start the application:

    python VolumeControl.py

  2. Use hand gestures to control volume:

    • Bring thumb and index finger closer for lower volume
    • Move them apart for higher volume

  3. Press 'Esc' to exit the application

How it Works

  1. The webcam detects your hand in real-time
  2. Position your hand in front of the camera
  3. Adjust volume by changing thumb-index finger distance:
    • Closer = Lower volume
    • Wider = Higher volume
  4. On-screen display shows current volume percentage

Custom HandTrackingModule

Our custom-built module enhances Mediapipe functionality with:

  • Precise hand landmark detection
  • Real-time distance calculation between fingers
  • Specialized gesture recognition for volume control

Applications

  • Accessibility: Touchless control for users with mobility challenges
  • Hands-Free Environments: Ideal for presentations or cooking scenarios
  • Innovation: Stepping stone for future gesture-based interfaces

Documentation

For detailed instructions and API documentation, visit our Documentation.

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Contact

For questions or feedback:

Made with ❤️ by Miten Gandhi