https://github.com/soumyapro/hand-tracking-volume-controller

This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.
https://github.com/soumyapro/hand-tracking-volume-controller

mediapipe numpy opencv-python pycaw time

Last synced: 6 days ago
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This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.

• Host: GitHub
• URL: https://github.com/soumyapro/hand-tracking-volume-controller
• Owner: Soumyapro
• Created: 2024-05-22T03:53:57.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-05-22T04:02:47.000Z (6 months ago)
• Last Synced: 2024-05-23T04:51:16.824Z (6 months ago)
• Topics: mediapipe, numpy, opencv-python, pycaw, time
• Language: Python
• Homepage:
• Size: 3.91 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Hand Tracking Mobile Controller

## Introduction

The Hand Tracking Mobile Controller is an innovative project that helps to control volume of your device without touching your pc using advanced hand tracking technology. By leveraging computer vision, it interprets hand gestures and movements.

## Technologies Used

- **Computer Vision:** Implemented using OpenCV and MediaPipe for robust hand detection and tracking.

- **Pycaw:** Python library for interacting with volume device.