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    Real time face and eye detection using a laptop cam - OpenCV using Haar Cascades

    Real time face and eye detection using a laptop cam - OpenCV using Haar Cascades

    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
    Robot detects circles - HoughCircles using Python in OpenCV

    Robot detects circles - HoughCircles using Python in OpenCV

    In our previous blog, we talked about contours in OpenCV. In this blog, we take this thread of computer vision forward and try to identify a circle in a binary image. We need robots to identify circles as it's a very basic shape found in our surroundings. Fortunately, we don't need to start from scratch here as OpenCV provides built-in function for using the Hough Circles algorithm using HoughCircles() function as below - Python: cv2.HoughCircles(image, method, dp, minDist[,
    OpenCV2 Contour sample code - findContours() and drawContours()

    OpenCV2 Contour sample code - findContours() and drawContours()

    Read time : 3 minutes , complexity : intermediate We continue from our previous blog on contours and try to run the basic contour functions on a Python code. This program comes with the sample bundle and takes input a binary image which has a sketch of multiple faces and hence contours. The image of the right is the input image and what your robot would see after contour processing is at left. As you have noticed that it can detect the curves in contours and then draw up the
    K nearest algorithm - KNN in robotics using Python

    K nearest algorithm - KNN in robotics using Python

    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
    What is Raspberry Pi? Raspberry Pi Zero

    What is Raspberry Pi? Raspberry Pi Zero

    Average read time : 3 minutes , Complexity : Starters Raspberry Pi is a debit card sized single board computer. In case you are new to single board computer then read our previous blog on single board computers here. Currently, Raspberry Pi comes with model known as Raspberry Pi3. These board have the capability to connect with your LCD monitor or smart tv using HDMI cable. Raspberry Pi is Linux based and needs an external SD card to load the operating system. You can also co
    Robotic vision Vs Computer vision

    Robotic vision Vs Computer vision

    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

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