OpenCV is our recommended package for image processing. In robotics, OpenCV can be deployed in Single Board computers as Raspberry Pi to give the power of vision to the robot. You can make robots as SID2 using the power of OpenCV in your robots. The Jupyter notebook for the code is at the Github link here. The aim of this blog: This is a beginner's blog which will look at below aspects using OpenCV2 - a) Read an image from the folder path b) Grayscale the image c) Perform C

In this blog we will learn a sample code which you can use with any laptop or computer which has a webcam to detect your eye and face. This sets up your foundation stone towards learning computer vision. In case you are new to OpenCV or computer we would request you to have a look at our earlier blogs as below - Robotic vision Vs Computer vision Computer Vision - Top python packages for graduates Robot detects circles - HoughCircles using Python in OpenCV Ok, let us get start

Average reading time: 4 minutes, level: Advanced In this blog, we will continue to talk about computer vision in robotics and introduce a simple classification algorithm using supervised learning called as K-nearest neighbours or KNN algorithm. Supervised learning in robotics makes the robot take a reference to training data provided to label the outcome. The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an i

Read time : 4 minutes , level : Intermediate We continue our blog series on computer vision. In case you are new to computer vision refer our earlier blog here. Have a look at the picture of the 'cat' on your left. It looks awesome and is great. We know that because we are humans. The problem comes when you want your robot to view this image through a file and tell us that it can see a cat !! There is where machine learning, computer vision comes in. The most basic way to dec

We are starting a new series on robotic vision and computer vision and we thought that a blog which points the basic differences between them would be helpful. Addition of sensors adds sensing abilities to your robot which means it takes Physical aspects like light, heat and converts these analog signals to digital vs your GPIO's in a single board computer or micro controller. But these do not make your robot see or decide upon an action. Example: Adding an ultrasonic senor t