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This project provides an automatic control system for adjusting the volume and brightness of a device using hand recognition. It uses computer vision techniques(mediapipe) to detect and track hand gestures, allowing users to interact with their device without physically touching it.

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RomalaMishra/Volume_control

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Automatic Volume and Brightness Control with Hand Recognition

This project provides an automatic control system for adjusting the volume and brightness of a device using hand recognition. It uses computer vision techniques(mediapipe library) to detect and track hand gestures.

In order to use this project, go through the following steps:

Clone the repo to your files

git clone https://github.com/RomalaMishra/Volume_Control.git

Install the following libraries by running

pip install opencv-python numpy mediapipe comtypes pycaw screen_brightness_control

Requirements:

Python 3.x
OpenCV
NumPy
MediaPipe (for hand recognition)
A webcam or camera connected to your computer

For running Volume control with Hand Recognition, run

python3 Volume_Control.py

Contributing

Contributions to this project are welcome. If you have any ideas for improvements, bug fixes, or additional features, please feel free to fork the repository and submit a pull request.

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This project provides an automatic control system for adjusting the volume and brightness of a device using hand recognition. It uses computer vision techniques(mediapipe) to detect and track hand gestures, allowing users to interact with their device without physically touching it.

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