Implementing a creative interface using OpenCV and Python, this project enables intuitive volume control through hand sign gestures. By utilizing computer vision techniques, it tracks and interprets hand movements, providing a novel and interactive way to manage audio levels
This repository contains a Python program that uses OpenCV and MediaPipe to control the volume of your computer by recognizing hand gestures. The program utilizes computer vision techniques to detect hand gestures, specifically the position of your index finger and thumb, to adjust the volume and control media playback.
- Control computer volume by moving your hand up and down.
- Python 3.7 or higher.
- OpenCV library (install with
pip install opencv-python
). - MediaPipe library (install with
pip install mediapipe
). - PyAutoGUI library (install with
pip install pyautogui
).
- Clone or download this repository to your local machine.
- Install the required Python libraries using the provided prerequisites.
- Run the
volume_control.py
script using Python:python volume_control.py
. - Follow the on-screen instructions to perform hand gestures and control the volume and media playback.
- Move your hand up to increase the volume.
- Move your hand down to decrease the volume.
- The accuracy of gesture recognition may vary based on lighting conditions, hand positioning, and other factors.
- Experiment with different hand gestures and adjust the code as needed to achieve optimal performance.
- Have fun exploring and adapting the code for your needs!