This project aims to create virtual devices such as a mouse, keyboard, and canvas using OpenCV and Artificial Intelligence. The primary objective of the project is to make these devices accessible to people with finger impairments so that they can work without touch or press. The project uses computer vision techniques to track hand movements and recognize hand tips, which are then used to control the virtual devices.
The virtual mouse application is designed to provide a hands-free experience for users, allowing them to control their computer without any physical peripheral required. The project also includes a virtual keyboard that can be used to type without touching the keys. Finally, the virtual canvas allows users to draw and paint using hand gestures.
The project has the following folder structure:
virtual-devices/
├── virtual mouse.py
├── MajorProjectkeyboard.py
├── canvas.py
├── keys.py
├── moveHandDectection.py
├── HandTracker.py
└── read me
To install the required dependencies for this project, run the following command:
pip install -r requirements.txt
To use the virtual devices, simply run the corresponding Python script in your terminal. The scripts are named mouse.py, keyboard.py, and canvas.py.
The virtual mouse application allows you to control your computer's cursor using hand gestures. To use it, run the mouse.py script and follow the on-screen instructions.
The virtual keyboard application allows you to type without touching the keys. To use it, run the keyboard.py script and follow the on-screen instructions.
The virtual canvas application allows you to draw and paint using hand gestures. To use it, run the canvas.py script and follow the on-screen instructions.