How to Create a Virtual Painting App using OpenCV

Computer vision is a science of teaching computers to see. With the state of the art algorithms, this technology is behind many applications like self-driving cars, image recognition, medical diagnosis etc. The best part of computer vision is these techniques are used for detecting cancerous cells which helps in saving lives by adding filters to your face to entertain you. Similarly, it has a wide variety of interesting and useful applications. In this article, we will do hands-on implementation on how to create a virtual painting app without touching the keyboard, and just by drawing on-air that will be displayed on the screen. In this tutorial, you'll see How to Create a Virtual Painting App using OpenCV

Computer vision is a science of teaching computers to see. With the state of the art algorithms, this technology is behind many applications like  self-driving cars,  image recognition, medical diagnosis etc. The best part of computer vision is these techniques are used for detecting cancerous cells which helps in saving lives by adding filters to your face to entertain you. Similarly, it has a wide variety of interesting and useful applications. In this article, we will do hands-on implementation on how to create a virtual painting app without touching the keyboard, and just by drawing on-air that will be displayed on the screen.

Steps for this implementation:-

1. Importing libraries, assigning BGR values for color.
2. Creating a window that provides various options.
3. Capturing a video using a webcam and grabbing frames.
4. Using different  morphing techniques 
5. Displaying output

So, now let’s begin with this interesting implementation.

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Learn Free how to create a virtual pen and eraser with python and OpenCV with source code and complete guide. This entire application is built fundamentally on contour detection. It can be thought of as something like closed color curves on compromises that have the same color or intensity, it's like a blob. In this project we use color masking to get the binary mask of our target color pen, then we use the counter detection to find the location of this pen and the contour to find it.

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