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Computer Vision

Machine vision is the incorporation of computer vision into industrial manufacturing processes, although it does differ substantially from computer vision. In general, computer vision revolves around image processing. Machine vision, on the other hand, uses digital input and output to manipulate mechanical components. Devices that depend on machine vision are often found at work in product inspection, where they often use digital cameras or other...

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There are many applications for machine learning, whether it be processing social media traffic and trying to surface actionable insights or targeting consumers based on past purchases.  In this article aimed at those interested in artificial intelligence, we look at 10 examples of machine vision in manufacturing which include the following: Predictive Maintenance Package Inspection Reading Barcodes Product and Components Assembly Defect Reduction 3d Vision...

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machine vision system acquires images of an object, and then uses computers to process, analyze and measure various characteristics of that object. The purpose may be to enhance the image to see characteristics undetected to the human eye, or to analyze image data for measurement purposes. The decisions made from this information are often related to quality. For example, production line parts can be qualified...

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Hi all, Hope you all are doing all. Today I will explain the face detection procedure used in opencv. Procedure : Step1: create cascaded classifier using the training algorithm provided by opencv and get the .xml file.   Step2: load the pre-made .xml file.   Step3: input frame from camera/ input image and convert it to grey scale image.   Step4: use opencv’s ‘CascadeClassifier:: detectMultiScale()’ function to detect faces of different sizes in the input image. Explanation of...

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There may be a time, place, and appropriate use for OpenCV, but in the business of providing integration services involving machine vision software for industrial end-users, I have not yet found it.  There’s a lot to like about OpenCV – mainly the price which is “free”, and the breadth of variety of available algorithms.   But let’s consider some challenges.  There is no commercial support for...

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Today we will start our journey to the world of Artificial Intelligence(AI). We will learn the basic definition of Artificial Intelligence (AI), Machine Learning(ML), Deep Learning(DL), Natural Language Processing(NLP), Computer Vision and Image Processing. Later we will go deeper with the machine learning algorithms and how those algorithm works. This tutorial is for beginners, if you have an idea of AI skip this course and...

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As automakers rev up their engines in the race for self-driving cars, all routes to the finish line run through artificial intelligence. But just as automakers have come to accept that succeeding in the 21st century requires adopting new paradigms, AI itself must undergo major transformations in order to fulfill its promise of making our cars smarter, our roads safer, and our future autonomous. Achieving autonomy will...

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Do we need to study traditional computer vision since deep learning can handle anything more efficiently?   These are good questions. Deep learning (DL) has certainly revolutionized computer vision (CV) and artificial intelligence in general. So many problems that once seemed improbable to be solved are solved to a point where machines are obtaining better results than humans. Image classification is probably the prime example of this....

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Data mining is a big business. These times everything is analysed. Everyone is analysing mouse clicks, mouse movements, customer purchase patterns. Such analysis has proven to give profitable insights that are driving businesses further than ever before. Big companies such as google, amazon and Facebook are in heavy use of it. It is used to keep track of customers and feed the   Data can be mined...

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Vital Signal Estimation Heart rate estimation belongs in the field called “Vital Signal Estimation” (VSE). In computer vision, VSE has been around for a while. One of the more famous attempts at this comes from 2012 from a paper entitled “Eulerian Video Magnification for Revealing Subtle Changes in the World” that was published at SIGGRAPH by MIT.   Basically, the way that VSE was implemented by MIT was...

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