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The Hand-Tracking-Volume-Control project is a Python-based application that enables users to control their computer's volume through hand gestures, utilizing the MediaPipe library for gesture recognition. It offers a novel and interactive way to adjust volume settings without physical contact with the device.

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Hand-Tracking-Volume-Control

The Hand-Tracking-Volume-Control project is an innovative Python application that allows users to control the volume of their computer using hand gestures. Utilizing the power of the MediaPipe library, this project offers a unique way to interact with your device, making volume control more accessible and fun.

Features

  • Hand Gesture Recognition: Leverages the MediaPipe library for accurate hand tracking and gesture recognition.
  • Volume Control: Adjust the volume of your primary audio output device by simply moving your hand up or down.
  • Real-Time Feedback: Provides immediate response to hand movements, ensuring a seamless user experience.

Prerequisites

Before you begin, ensure you have met the following requirements:

  • Python 3.6 or above installed on your computer.
  • A webcam or any compatible camera module for hand tracking.

Installation

To install Hand-Tracking-Volume-Control, follow these steps:

  1. Clone the repository or download the source code: git clone https://github.com/xn-coder/Hand-Tracking-Volume-Control.git
  2. Navigate to the project directory: cd Hand-Tracking-Volume-Control
  3. Install the required dependencies: pip install -r requirements.txt

Usage

To use Hand-Tracking-Volume-Control, follow these steps:

  1. Run the application: python AIVolume.py
  2. Place your hand in front of the camera. The application will track your hand's position and adjust the volume accordingly:
    • Move your hand up to increase the volume.
    • Move your hand down to decrease the volume.

Contributing

Contributions to the Hand-Tracking-Volume-Control project are welcome. If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".

Don't forget to give the project a star! Thanks again!

Acknowledgments

  • This project is built using the MediaPipe framework for hand tracking and pose estimation.
  • Special thanks to the pycaw library for controlling the system volume.

About

The Hand-Tracking-Volume-Control project is developed and maintained by @xn-coder. It's an open-source initiative designed to explore and demonstrate the capabilities of hand tracking technology for practical applications.

For more information, please visit the project repository.

About

The Hand-Tracking-Volume-Control project is a Python-based application that enables users to control their computer's volume through hand gestures, utilizing the MediaPipe library for gesture recognition. It offers a novel and interactive way to adjust volume settings without physical contact with the device.

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