Welcome to the Gesture-Based Volume Control Python project! This project brings to you an innovative way to control the volume of your device using hand gestures. By leveraging computer vision and machine learning techniques, the script tracks the user's hand movements through the device camera and adjusts the volume accordingly. Say goodbye to fumbling for the volume buttons; just raise your hand and let the code handle the rest!
This Python script utilizes the power of OpenCV for image processing and the Mediapipe library for hand tracking. The combination of these libraries enables real-time hand tracking and gesture recognition from the webcam feed. As the distance between the thumb and index finger increases, the volume increases and vice versa.
For a step-by-step explanation of the code, feel free to visit my blog by clicking here
To experience the magic of gesture-based volume control, follow these steps:
Begin by cloning this GitHub repository to your local machine. You can do this by executing the following command in your terminal or command prompt:
git clone https://github.com/Agnik7/Adjusting-Volume-Using-Gestures.git
Ensure you have Python installed on your system. Additionally, you need to install the required Python packages, listed in the requirements.txt file, to execute the script successfully. You can install the dependencies using pip as follows:
pip install -r requirements.txt
After installing the dependencies, run the program using the following command:
python volume_hand_gestures.py
Feel free to explore the code and customize it to suit your preferences. Enjoy the hands-free volume control experience! 🎶👋
Agnik Bakshi |
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