🧠 Machine-Vision-Python

This repository showcases a set of Machine Vision demo projects built using Python, OpenCV, and MediaPipe.
Each module demonstrates real-time computer vision and hand gesture recognition to control various system functions.

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📘 Catalogue

1. pointer.py — Control your mouse cursor virtually using hand gestures.
2. virtual_painter.py — Draw freely on a NumPy canvas with your hand acting as a brush.
3. volume_control.py — Adjust your system’s volume using simple hand movements.
4. Other helper modules — Contain smaller utilities and submodules supporting the above main programs.

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⚙️ Requirements

Python: 3.8.0 or newer
🔗 Download Python

Install the required libraries using:

pip install opencv-python
pip install mediapipe

🚀 Getting Started

After installing dependencies, you can run any script using the command line:

python filename.py


Example:

python pointer.py

💡 Description

These projects demonstrate the power of Machine Vision by combining OpenCV and MediaPipe to track hand movements and interpret them as commands.
You can use this repository as a base to explore interactive gesture-controlled systems, virtual tools, and computer vision applications.

🧩 Tech Stack

Python

OpenCV

MediaPipe

will add setup.py Later
NumPy

Author Harsh Vasava