https://github.com/machinelearningprodigy/volume_control_gesture
https://github.com/machinelearningprodigy/volume_control_gesture
Last synced: 6 months ago
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- Host: GitHub
- URL: https://github.com/machinelearningprodigy/volume_control_gesture
- Owner: machinelearningprodigy
- Created: 2024-07-17T14:15:54.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-16T10:05:11.000Z (12 months ago)
- Last Synced: 2025-02-16T11:18:30.199Z (12 months ago)
- Language: Python
- Size: 23.4 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
🎛️ Volume Control Gesture 🎯
A modern and interactive application that allows users to control the system volume using simple hand gestures. 🖐️🎚️ Built using computer vision techniques with OpenCV and Python, this project leverages hand-tracking to create a seamless and intuitive volume control experience—no more reaching for the volume buttons! 🚀
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🌟 Features
🎥 Real-Time Hand Tracking: Track hand movements in real-time using OpenCV.
🖐️ Gesture-Based Volume Control: Adjust volume by moving your hand closer or farther.
🔊 Dynamic Volume Feedback: Displays the current volume level on the screen.
⚙️ Easy Integration: Simple and lightweight with minimal dependencies.
🎛️ User-Friendly Interface: Clear and intuitive UI for easy operation.
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🛠️ Tech Stack
🐍 Python
🎯 OpenCV
🤖 MediaPipe (for hand tracking)
🔊 Pycaw (for volume control)
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🚀 Installation
1. Clone the repository:
git clone https://github.com/machinelearningprodigy/Volume_Control_Gesture.git
cd Volume_Control_Gesture
2. Install dependencies:
pip install opencv-python mediapipe pycaw numpy
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▶️ Usage
1. Run the application:
python volume_control.py
2. How it works:
Show your hand 🖐️ in front of the camera.
Adjust volume by moving your thumb and index finger:
Bring fingers closer → 🔉 Decrease volume.
Move fingers apart → 🔊 Increase volume.
Current volume level is displayed in real-time.
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⚙️ Configuration
You can modify the settings in the code:
Camera Index: Adjust cv2.VideoCapture(0) for external cameras.
Volume Range: Customize the volume limits.
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📸 Demo
https://github.com/machinelearningprodigy/Volume_Control_Gesture/assets/demo.mp4
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🧠 How It Works
1. Hand Detection: Uses MediaPipe to detect and track hands in real-time.
2. Distance Measurement: Calculates the distance between thumb and index finger.
3. Volume Adjustment: Maps the distance to system volume using Pycaw.
4. Feedback Display: Shows the volume level dynamically on the video feed.
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💡 Troubleshooting
Ensure the camera is working properly. 🎥
Run the script with Admin permissions if the volume control doesn't work.
Update dependencies if the hand-tracking is inaccurate.
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🚀 Future Improvements
🤖 Enhanced Gesture Controls: Add play/pause functionality.
🔊 Voice Feedback: Provide audio cues for volume changes.
🧠 AI Integration: Improve hand tracking with AI-based enhancements.
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🤝 Contributing
Contributions are welcome! 🌱
1. Fork the repo 🍴
2. Create a new branch 🌿
3. Make your changes 💡
4. Submit a pull request 🔔
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🛡️ License
⚖️ Licensed under the MIT License.
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🎯 Acknowledgments
Special thanks to the developers of OpenCV, MediaPipe, and Pycaw for their amazing libraries. 🙌
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🔍 Let's make interaction with computers more intuitive! 🌐🚀