harshaparida/controlling_volume_using_hand-gestures

Hand Gesture Volume Control

Overview

Control your system volume with the wave of your hand! This project uses a webcam to capture real-time hand movements and adjusts the volume based on the distance between your thumb and index finger.

Features

• Real-time Hand Tracking: Utilizes MediaPipe for accurate hand detection.
• Volume Control: Adjust system volume by varying the distance between your thumb and index finger.
• Visual Feedback: Interactive graphics to show current volume and hand landmarks.

Table of Contents

• Requirements
• Installation
• Usage
• How It Works
• Visual Feedback

Requirements

• Python 3.x
• OpenCV
• MediaPipe
• PulseAudio

Installation

1. Clone the repository:

   git clone https://github.com/harshaparida/Controlling_volume_using_hand_gestures.git
   cd hand-gesture-volume-control

2. Install the required packages:

   pip install opencv-python mediapipe pulsectl

Usage

Run the following command to start the volume control application:

python hand_gesture_control.py

How It Works

1. Capture Video: The webcam captures video frames.
2. Process Frames: MediaPipe processes the frames to detect hand landmarks.
3. Calculate Distance: The distance between the thumb and index finger is calculated.
4. Adjust Volume: The system volume is adjusted based on the distance.

Visual Feedback

• Hand Landmarks: The thumb and index finger are highlighted with green circles.
• Connecting Line: A green line connects the thumb and index finger.
• Background Color: The background color changes based on the volume level.
• Volume Display: Current volume percentage is displayed on the frame.

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Enhance your multimedia experience with just a wave of your hand. Happy coding!

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