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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.

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Soumyapro/Hand-Tracking-Volume-Controller

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README.md
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handTracking_module.py
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volumeHandControl.py
volumeHandControl.py
 
 

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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.

About

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.

Topics

time numpy opencv-python mediapipe pycaw

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