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Titlebook: Industrial Vision Systems with Raspberry Pi; Build and Design Vis K. Mohaideen Abdul Kadhar,G. Anand Book 2024 K. Mohaideen Abdul Kadhar an

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Challenges in Machine Vision System,t of cameras and sensors to ensure precise image capture. Additionally, the complexity of processing large amounts of visual data in real time requires powerful computational resources and efficient algorithms. Furthermore, integrating machine vision systems into existing manufacturing industry infr
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Image Processing Using OpenCV,essing, computer vision, etc. OpenCV provides a huge collection of algorithms and functions that can help us to do a wide range of image processing operations such as filtering, edge detection, object detection, segmentation, and more. In this chapter, we will begin by exploring the various properti
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Image Segmentation,cts in a given image. This is accomplished by a process called segmentation wherein all pixels corresponding to various regions (objects) are grouped together thereby segregating the given image into its constituent objects. In the field of computer vision, image segmentation is an essential and fun
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Optical Character Recognition,ed by a camera and convert them into an editable data. To put it in different terms, the OCR technology extracts machine-encoded text from the text characters recognized within scanned documents or images. OCR technology began to emerge in the early twentieth century. The primary purpose of early OC
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