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Automated Optical Inspection

Automated Optical Inspection
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
Total Pages: 137
Release: 2024-05-14
Genre: Computers
ISBN:

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What is Automated Optical Inspection Automated optical inspection (AOI) is an automated visual inspection of printed circuit board (PCB) manufacture where a camera autonomously scans the device under test for both catastrophic failure and quality defects. It is commonly used in the manufacturing process because it is a non-contact test method. It is implemented at many stages through the manufacturing process including bare board inspection, solder paste inspection (SPI), pre-reflow and post-re-flow as well as other stages. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Automated Optical Inspection Chapter 2: Printed Circuit Board Chapter 3: Ball Grid Array Chapter 4: Surface-mount Technology Chapter 5: Gerber Format Chapter 6: Reflow Oven Chapter 7: Reflow Soldering Chapter 8: Rework (Electronics) Chapter 9: Solder Paste Chapter 10: Selective Soldering (II) Answering the public top questions about automated optical inspection. (III) Real world examples for the usage of automated optical inspection in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Automated Optical Inspection.


AUTOMATIC OPTICAL INSPECTION-BASED PCB FAULT DETECTION USING IMAGE PROCESSING

AUTOMATIC OPTICAL INSPECTION-BASED PCB FAULT DETECTION USING IMAGE PROCESSING
Author:
Publisher:
Total Pages: 0
Release: 2023
Genre:
ISBN:

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Abstract : Increased Printed Circuit Board (PCB) route complexity and density combined with the growing demand for low-scale rapid prototyping has increased the desire for Automated Optical Inspection (AOI) that reduces prototyping time and production costs by detecting defects early in the production process. Traditional defect detection method of human visual inspection is not only error prone but is also time-consuming given the growing complex and dense circuitry of modern-day electronics. Electric contact-based testing, either in the form of a bed of nails testing fixture or a flying probe system, is costly for low-rate rapid prototyping. An AOI is a non-contact test method using an image processing algorithm that quickly detects and reports failures within the PCB layer based on the captured image. A low-cost AOI system has been created using commercial off-the-shelf components specifically for low-rate production prototyping testing allowing testing of varying layers or various electronic designs without additional setup cost. Once the AOI system is physically configured, the image processing defect detection algorithm compares the test image with a defect-free reference image or by a set of pre-defined rules generated through Electronic Design and Analysis software. Detected defects are then classified into two main categories: fatal and potential. Fatal defects lead to the board's rejection, while potential defects alert the operator to determine if the board should be rejected or will still satisfy pre-defined prototyping criteria. The specifications of an imaging system, camera sensor, imaging lens, and illumination set-up used in the creation of the AOI were designed considering a test PCB article already in production. The algorithm utilized is based on a non-reference defect detection method utilizing mathematical morphology-based image processing techniques to detect defects in the PCB under test.


Automated Optical Inspection for Industry

Automated Optical Inspection for Industry
Author: Frederick Y. Wu
Publisher: SPIE-International Society for Optical Engineering
Total Pages: 736
Release: 1996
Genre: Technology & Engineering
ISBN: 9780819423009

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Automated Optical Inspection for Industry: Theory, Technology, and Applications II

Automated Optical Inspection for Industry: Theory, Technology, and Applications II
Author: Shenghua Ye
Publisher: SPIE-International Society for Optical Engineering
Total Pages: 676
Release: 1998
Genre: Science
ISBN:

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This collection of works on the theory, technology and industrial applications of automated optical inspection contains 117 papers on such subjects as high-speed optical inspection systems and novel inspection algorithms and architectures.


Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)

Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)
Author: Aboul-Ella Hassanien
Publisher: Springer Nature
Total Pages: 880
Release: 2020-03-23
Genre: Technology & Engineering
ISBN: 3030442896

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This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.


Surface Mount Technology

Surface Mount Technology
Author: Ray Prasad
Publisher: Springer Science & Business Media
Total Pages: 791
Release: 2013-11-27
Genre: Technology & Engineering
ISBN: 1461540844

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A foreword is usually prepared by someone who knows the author or who knows enough to provide additional insight on the purpose of the work. When asked to write this foreword, I had no problem with what I wanted to say about the work or the author. I did, however, wonder why people read a foreword. It is probably of value to know the background of the writer of a book; it is probably also of value to know the background of the individual who is commenting on the work. I consider myself a good friend of the author, and when I was asked to write a few words I felt honored to provide my view of Ray Prasad, his expertise, and the contribution that he has made to our industry. This book is about the industry, its technology, and its struggle to learn and compete in a global market bursting with new ideas to satisfy a voracious appetite for new and innovative electronic products. I had the good fortune to be there at the beginning (or almost) and have witnessed the growth and excitement in the opportunities and challenges afforded the electronic industries' engineering and manufacturing talents. In a few years my involve ment will span half a century.


Mining of Massive Datasets

Mining of Massive Datasets
Author: Jure Leskovec
Publisher: Cambridge University Press
Total Pages: 480
Release: 2014-11-13
Genre: Computers
ISBN: 1107077230

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Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.


Learn OpenCV 4 by Building Projects

Learn OpenCV 4 by Building Projects
Author: David Millán Escrivá
Publisher: Packt Publishing Ltd
Total Pages: 301
Release: 2018-11-30
Genre: Computers
ISBN: 1789347629

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Explore OpenCV 4 to create visually appealing cross-platform computer vision applications Key FeaturesUnderstand basic OpenCV 4 concepts and algorithmsGrasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural networksWork with Tesseract OCR, an open-source library to recognize text in imagesBook Description OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you’re completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. You’ll begin with the installation of OpenCV and the basics of image processing. Then, you’ll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module. By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch. What you will learnInstall OpenCV 4 on your operating systemCreate CMake scripts to compile your C++ applicationUnderstand basic image matrix formats and filtersExplore segmentation and feature extraction techniquesRemove backgrounds from static scenes to identify moving objects for surveillanceEmploy various techniques to track objects in a live videoWork with new OpenCV functions for text detection and recognition with TesseractGet acquainted with important deep learning tools for image classificationWho this book is for If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, Learn OpenCV 4 by Building Projects for you. Prior knowledge of C++ will help you understand the concepts covered in this book.