{"product_id":"industrial-vision-systems-with-raspberry-pi-build-and-design-vision-products-using-python-and-opencv-paperback","title":"Industrial Vision Systems with Raspberry Pi: Build and Design Vision Products Using Python and Opencv - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eKadhar\u003c\/b\u003e (Author), \u003cb\u003eG. Anand\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eToday's industries are faced with a growing demand for vision systems due to their non-invasive characteristics in inspecting product quality. These systems identify surface defects and faults, and verify components' orientation and their measurements, etc. This book explores the vision techniques needed to design and develop your own industrial vision system with the help of Raspberry Pi.\u003c\/p\u003e\u003cp\u003eYou'll start by reviewing basic concepts and applications of machine vision systems, followed by the preliminaries of Python, OpenCV, required libraries, and installing OpenCV for Python on Raspberry Pi. These are used when implementing image processing for the system applications. You'll then look at interfacing techniques and some of the challenges industrial vision systems encounter, such as lighting and camera angles. \u003c\/p\u003e\u003cp\u003eAlgorithms and image processing techniques are also discussed, along with machine learning and deep learning techniques. Later chapters explain the use of GUI apps and real-time applications of Industrial vision systems. Each chapter concludes with examples and demo implementations to facilitate your knowledge of the concepts. \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eBy the end of the book, you'll be able to build and deploy computer vision applications with Python, OpenCV, and Raspberry Pi.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You'll Learn\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBuild and deploy industrial vision system using Raspberry Pi and Python programming\u003c\/li\u003e\n\u003cli\u003eExplore computer vision techniques using Raspberry Pi and OpenCV\u003c\/li\u003e\n\u003cli\u003eImplement popular vision techniques for industrial applications in real time\u003c\/li\u003e\n\u003cli\u003eReview modern image processing techniques such as image segmentation, thresholding, and contours\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho This Book Is For\u003c\/strong\u003e\u003c\/p\u003eRaspberry Pi and Python enthusiasts interested in computer vision applications; educators, industrialists, and industrial solution providers who want to design vision-based testing products with the help of Raspberry Pi\u003cbr\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eToday's industries are faced with a growing demand for vision systems due to their non-invasive characteristics in inspecting product quality. These systems identify surface defects and faults, and verify components' orientation and their measurements, etc. This book explores the vision techniques needed to design and develop your own industrial vision system with the help of Raspberry Pi.\u003cbr\u003e\u003c\/p\u003e \u003cp\u003eYou'll start by reviewing basic concepts and applications of machine vision systems, followed by the preliminaries of Python, OpenCV, required libraries, and installing OpenCV for Python on Raspberry Pi. These are used when implementing image processing for the system applications. You'll then look at interfacing techniques and some of the challenges industrial vision systems encounter, such as lighting and camera angles. \u003c\/p\u003e \u003cp\u003eAlgorithms and image processing techniques are also discussed, along with machine learning and deep learning techniques. Later chapters explain the use of GUI apps and real-time applications of Industrial vision systems. Each chapter concludes with examples and demo implementations to facilitate your knowledge of the concepts. \u003c\/p\u003e By the end of the book, you'll be able to build and deploy computer vision applications with Python, OpenCV, and Raspberry Pi.\u003cp\u003e\u003c\/p\u003e\u003cp\u003eYou will: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBuild and deploy industrial vision system using Raspberry Pi and Python programming\u003c\/li\u003e\n\u003cli\u003eExplore computer vision techniques using Raspberry Pi and OpenCV\u003c\/li\u003e\n\u003cli\u003eImplement popular vision techniques for industrial applications in real time\u003c\/li\u003e\n\u003cli\u003eReview modern image processing techniques such as image segmentation, thresholding, and contours\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. K. Mohaideen Abdul Kadhar\u003c\/b\u003e completed his Undergraduate degree in Electronics and Communication Engineering and his M.Tech with a specialization in Control and Instrumentation in 2005. In 2015, he obtained a Ph.D. in Control System Design using evolutionary algorithms. He has more than 16 years of experience in teaching and research. His area of interests includes Robust control systems, Optimization techniques, computer vision and image processing, data science, python programming, and working with Raspberry Pi boards. He is currently developing customized industrial vision systems for various industrial requirements. He has been a consultant for several industries in developing machine vision systems for industrial applications, a master trainer, and delivered workshops in the control systems, computer vision, image processing, optimization techniques, data science and Python programming. \u003c\/p\u003e \u003cp\u003e\u003cb\u003eG. Anand\u003c\/b\u003e completed his Undergraduate degree in Electronics and Communication Engineering in 2008 and his Postgraduate Degree (M.E) in Communication Systems in 2011. He has more than 10 years of experience in teaching and research. His areas of interest include Signal Processing, Image processing, Vision system, Python programming, Data science, and Machine Learning. He has also delivered workshops in signal processing, image processing and python programming.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 01, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47213317685497,"sku":"9798868800962","price":89.08,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/9zt6kVhYP89798868800962.webp?v=1768104558","url":"https:\/\/bookscloud.io\/products\/industrial-vision-systems-with-raspberry-pi-build-and-design-vision-products-using-python-and-opencv-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}