Intelligent Visual Inspection

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Intelligent Visual Inspection

Author : R. Rosandich
Publisher : Springer Science & Business Media
ISBN 13 : 1461312019
Total Pages : 311 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Intelligent Visual Inspection by : R. Rosandich

Download or read book Intelligent Visual Inspection written by R. Rosandich and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: A great deal of research is being done in the areas of artificial vision and neural networks. Although much of this research has been theoretical in nature, many of the techniques developed through these efforts are now mature enough for use in practical applications. Automated Visual Inspection Using Artificial Neural Networks explains the application of recently emerging technology in the areas of artificial vision and neural networks to automated visual inspection. The information is organised in a clear, informative manner, bridging the gap between theoretical research and practical application. Significantly this book includes: * broad coverage of all aspects of the automated visual inspection problem, * details of the HAVENET neural network and the CAMERA vision model, and * detailed descriptions of practical applications of intelligent visual inspection.

Smart Inspection Systems

Author : Duc T. Pham
Publisher : Elsevier
ISBN 13 : 0080541275
Total Pages : 236 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Smart Inspection Systems by : Duc T. Pham

Download or read book Smart Inspection Systems written by Duc T. Pham and published by Elsevier. This book was released on 2002-12-09 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Inspection Systems: Techniques and Applications of Intelligent Vision will enable engineers to understand the various stages of automated visual inspection (AVI) and how artificial intelligence can be incorporated into each stage to create "smart" inspection systems. The book contains many examples that illustrate and explain the application of conventional and artificial intelligence techniques in AVI. The text covers the whole AVI process, from illumination, image enhancement, segmentation and feature extraction, through to classification, and includes case studies of implemented AVI systems as well as reviews of commercially available inspection systems. Each chapter concludes with exercises. This book will be of interest to users and developers of commercial industrial inspection systems as well as researchers in the fields of machine vision, artificial intelligence and advanced manufacturing engineering.

Machine Vision Inspection Systems, Machine Learning-Based Approaches

Author : Muthukumaran Malarvel
Publisher : John Wiley & Sons
ISBN 13 : 1119786118
Total Pages : 352 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Vision Inspection Systems, Machine Learning-Based Approaches by : Muthukumaran Malarvel

Download or read book Machine Vision Inspection Systems, Machine Learning-Based Approaches written by Muthukumaran Malarvel and published by John Wiley & Sons. This book was released on 2021-01-15 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Vision Inspection Systems (MVIS) is a multidisciplinary research field that emphasizes image processing, machine vision and, pattern recognition for industrial applications. Inspection techniques are generally used in destructive and non-destructive evaluation industry. Now a day's the current research on machine inspection gained more popularity among various researchers, because the manual assessment of the inspection may fail and turn into false assessment due to a large number of examining while inspection process. This volume 2 covers machine learning-based approaches in MVIS applications and it can be employed to a wide diversity of problems particularly in Non-Destructive testing (NDT), presence/absence detection, defect/fault detection (weld, textile, tiles, wood, etc.), automated vision test & measurement, pattern matching, optical character recognition & verification (OCR/OCV), natural language processing, medical diagnosis, etc. This edited book is designed to address various aspects of recent methodologies, concepts, and research plan out to the readers for giving more depth insights for perusing research on machine vision using machine learning-based approaches.

Machine Vision Inspection Systems, Image Processing, Concepts, Methodologies, and Applications

Author : Muthukumaran Malarvel
Publisher : John Wiley & Sons
ISBN 13 : 1119682096
Total Pages : 256 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Machine Vision Inspection Systems, Image Processing, Concepts, Methodologies, and Applications by : Muthukumaran Malarvel

Download or read book Machine Vision Inspection Systems, Image Processing, Concepts, Methodologies, and Applications written by Muthukumaran Malarvel and published by John Wiley & Sons. This book was released on 2020-06-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book brings together leading researchers, academic scientists and research scholars to put forward and share their experiences and research results on all aspects of an inspection system for detection analysis for various machine vision applications. It also provides a premier interdisciplinary platform to present and discuss the most recent innovations, trends, methodology, applications, and concerns as well as practical challenges encountered and solutions adopted in the inspection system in terms of image processing and analytics of machine vision for real and industrial application. Machine vision inspection systems (MVIS) utilized all industrial and non-industrial applications where the execution of their utilities based on the acquisition and processing of images. MVIS can be applicable in industry, governmental, defense, aerospace, remote sensing, medical, and academic/education applications but constraints are different. MVIS entails acceptable accuracy, high reliability, high robustness, and low cost. Image processing is a well-defined transformation between human vision and image digitization, and their techniques are the foremost way to experiment in the MVIS. The digital image technique furnishes improved pictorial information by processing the image data through machine vision perception. Digital image processing has widely been used in MVIS applications and it can be employed to a wide diversity of problems particularly in Non-Destructive testing (NDT), presence/absence detection, defect/fault detection (weld, textile, tiles, wood, etc.,), automated vision test & measurement, pattern matching, optical character recognition & verification (OCR/OCV), barcode reading and traceability, medical diagnosis, weather forecasting, face recognition, defence and space research, etc. This edited book is designed to address various aspects of recent methodologies, concepts and research plan out to the readers for giving more depth insights for perusing research on machine vision using image processing techniques.

Automated Visual Inspection

Author : Bruce G. Batchelor
Publisher : Elsevier Science & Technology
ISBN 13 :
Total Pages : 586 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Automated Visual Inspection by : Bruce G. Batchelor

Download or read book Automated Visual Inspection written by Bruce G. Batchelor and published by Elsevier Science & Technology. This book was released on 1985 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Vision

Author : Jürgen Beyerer
Publisher : Springer
ISBN 13 : 3662477947
Total Pages : 798 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Machine Vision by : Jürgen Beyerer

Download or read book Machine Vision written by Jürgen Beyerer and published by Springer. This book was released on 2015-10-01 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book offers a thorough introduction to machine vision. It is organized in two parts. The first part covers the image acquisition, which is the crucial component of most automated visual inspection systems. All important methods are described in great detail and are presented with a reasoned structure. The second part deals with the modeling and processing of image signals and pays particular regard to methods, which are relevant for automated visual inspection.

Intelligent Quality Systems

Author : Duc T. Pham
Publisher : Springer Science & Business Media
ISBN 13 : 1447114981
Total Pages : 212 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Intelligent Quality Systems by : Duc T. Pham

Download or read book Intelligent Quality Systems written by Duc T. Pham and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the tenn quality does not have a precise and universally accepted definition, its meaning is generally well understood: quality is what makes the difference between success and failure in a competitive world. Given the importance of quality, there is a need for effective quality systems to ensure that the highest quality is achieved within given constraints on human, material or financial resources. This book discusses Intelligent Quality Systems, that is quality systems employing techniques from the field of Artificial Intelligence (AI). The book focuses on two popular AI techniques, expert or knowledge-based systems and neural networks. Expert systems encapsulate human expertise for solving difficult problems. Neural networks have the ability to learn problem solving from examples. The aim of the book is to illustrate applications of these techniques to the design and operation of effective quality systems. The book comprises 8 chapters. Chapter 1 provides an introduction to quality control and a general discussion of possible AI-based quality systems. Chapter 2 gives technical information on the key AI techniques of expert systems and neural networks. The use of these techniques, singly and in a combined hybrid fonn, to realise intelligent Statistical Process Control (SPC) systems for quality improvement is the subject of Chapters 3-5. Chapter 6 covers experimental design and the Taguchi method which is an effective technique for designing quality into a product or process. The application of expert systems and neural networks to facilitate experimental design is described in this chapter.

Computer Vision, Models, and Inspection

Author : A. Dave Marshall
Publisher : World Scientific
ISBN 13 : 9810207727
Total Pages : 457 pages
Book Rating : 4.8/5 (12 download)

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Book Synopsis Computer Vision, Models, and Inspection by : A. Dave Marshall

Download or read book Computer Vision, Models, and Inspection written by A. Dave Marshall and published by World Scientific. This book was released on 1992 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main focus of this book is on the uses of computer vision for inspection and model based matching. It also provides a short, self contained introductory course on computer vision. The authors describe various state-of-the-art approaches to probems and then set forth their proposed approach to matching and inspection. They deal primarily with 3-D vision but also discuss 2-D vision strategies when relevant.The book is suitable for researchers, final year undergraduates and graduate students. Useful review questions at the end of each chapter allow this book to be used for self-study.

Advanced Concepts for Intelligent Vision Systems

Author : Wilfried Philips
Publisher : Springer
ISBN 13 : 3540746072
Total Pages : 1100 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Advanced Concepts for Intelligent Vision Systems by : Wilfried Philips

Download or read book Advanced Concepts for Intelligent Vision Systems written by Wilfried Philips and published by Springer. This book was released on 2007-08-18 with total page 1100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2007, held in Delft, The Netherlands, August 2007. Coverage includes noise reduction and restoration, segmentation, motion estimation and tracking, video processing and coding, camera calibration, image registration and stereo matching, biometrics and security, medical imaging, image retrieval, as well as classification and recognition.

Computer Vision for Electronics Manufacturing

Author : L.F Pau
Publisher : Springer Science & Business Media
ISBN 13 : 1461305071
Total Pages : 324 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Computer Vision for Electronics Manufacturing by : L.F Pau

Download or read book Computer Vision for Electronics Manufacturing written by L.F Pau and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: DEFECT PROPORTION OF DETECTION INITIAL RATE DETECTION RATE INSPECTOR 3 COMPLEXITY OF TIMES PAN OF PERFORMING o~ ________________________ o~ ______________________ __ -;. INSPECTION TASK -;. VISUAL INSPECTION Fagure 1. Trends in relations between the complexity of inspection tasks, defect detection rates (absolute and relative), and inspection time. Irrespective of the necessities described above, and with the excep tion of specific generic application systems (e.g., bare-board PCB inspection, wafer inspection, solder joint inspection, linewidth measure ment), vision systems are still not found frequently in today's electronics factories. Besides cost, some major reasons for this absence are: 1. The detection robustness or accuracy is still insufficient. 2. The total inspection time is often too high, although this can frequently be attributed to mechanical handling or sensing. 3. There are persistent gaps among process engineers, CAD en gineers, manufacturing engineers, test specialists, and computer vision specialists, as problems dominate the day-to-day interac tions and prevent the establishment of trust. 4. Computer vision specialists sometimes still believe that their contributions are universal, so that adaptation to each real problem becomes tedious, or stumbles over the insufficient availabIlity of multidisciplinary expertise. Whether we like it or not, we must still use appropriate sensors, lighting, and combina tions of algorithms for each class of applications; likewise, we cannot design mechanical handling, illumination, and sensing in isolation from each other.

Advanced Concepts for Intelligent Vision Systems

Author : Jaques Blanc-Talon
Publisher : Springer
ISBN 13 : 3642331408
Total Pages : 553 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Advanced Concepts for Intelligent Vision Systems by : Jaques Blanc-Talon

Download or read book Advanced Concepts for Intelligent Vision Systems written by Jaques Blanc-Talon and published by Springer. This book was released on 2012-09-02 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2012, held in Brno, Czech Republic, in September 2012. The 46 revised full papers were carefully selected from 81 submissions and deal with image analysis and computer vision with a focus on detection, recognition, tracking and identification.

Visual Inspection Technology in the Hard Disk Drive Industry

Author : Paisarn Muneesawang
Publisher : John Wiley & Sons
ISBN 13 : 1119058716
Total Pages : 316 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Visual Inspection Technology in the Hard Disk Drive Industry by : Paisarn Muneesawang

Download or read book Visual Inspection Technology in the Hard Disk Drive Industry written by Paisarn Muneesawang and published by John Wiley & Sons. This book was released on 2015-03-23 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: A presentation of the use of computer vision systems to controlmanufacturing processes and product quality in the hard disk driveindustry. Visual Inspection Technology in the Hard Disk DriveIndustry is an application-oriented book borne out of collaborative research withthe world’s leading hard disk drive companies. It covers thelatest developments and important topics in computer visiontechnology in hard disk drive manufacturing, as well as offering aglimpse of future technologies.

Intelligent Vision Systems for Industry

Author : Bruce G. Batchelor
Publisher : Springer Science & Business Media
ISBN 13 : 1447104315
Total Pages : 475 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Intelligent Vision Systems for Industry by : Bruce G. Batchelor

Download or read book Intelligent Vision Systems for Industry written by Bruce G. Batchelor and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of intelligent imaging techniques to industrial vision problems is an evolving aspect of current machine vision research. Machine vision is a relatively new technology, more concerned with systems engineering than with computer science, and with much to offer the manufacturing industry in terms of improving efficiency, safety and product quality. Beginning with an introductory chapter on the basic concepts, the authors develop these ideas to describe intelligent imaging techniques for use in a new generation of industrial imaging systems. Sections cover the application of AI languages such as Prolog, the use of multi-media interfaces and multi-processor systems, external device control, and colour recognition. The text concludes with a discussion of several case studies that illustrate how intelligent machine vision techniques can be used in industrial applications.

Advances in Intelligent Data Analysis. Reasoning about Data

Author : Xiaohui Liu
Publisher : Springer Science & Business Media
ISBN 13 : 9783540633464
Total Pages : 644 pages
Book Rating : 4.6/5 (334 download)

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Book Synopsis Advances in Intelligent Data Analysis. Reasoning about Data by : Xiaohui Liu

Download or read book Advances in Intelligent Data Analysis. Reasoning about Data written by Xiaohui Liu and published by Springer Science & Business Media. This book was released on 1997-07-23 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Symposium on Intelligent Data Analysis, IDA-97, held in London, UK, in August 1997. The volume presents 50 revised full papers selected from a total of 107 submissions. Also included is a keynote, Intelligent Data Analysis: Issues and Opportunities, by David J. Hand. The papers are organized in sections on exploratory data analysis, preprocessing and tools; classification and feature selection; medical applications; soft computing; knowledge discovery and data mining; estimation and clustering; data quality; qualitative models.

A Guide for Machine Vision in Quality Control

Author : Sheila Anand
Publisher : CRC Press
ISBN 13 : 100075409X
Total Pages : 205 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis A Guide for Machine Vision in Quality Control by : Sheila Anand

Download or read book A Guide for Machine Vision in Quality Control written by Sheila Anand and published by CRC Press. This book was released on 2019-12-23 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Vision systems combine image processing with industrial automation. One of the primary areas of application of Machine Vision in the Industry is in the area of Quality Control. Machine vision provides fast, economic and reliable inspection that improves quality as well as business productivity. Building machine vision applications is a challenging task as each application is unique, with its own requirements and desired outcome. A Guide to Machine Vision in Quality Control follows a practitioner’s approach to learning machine vision. The book provides guidance on how to build machine vision systems for quality inspections. Practical applications from the Industry have been discussed to provide a good understanding of usage of machine vision for quality control. Real-world case studies have been used to explain the process of building machine vision solutions. The book offers comprehensive coverage of the essential topics, that includes: Introduction to Machine Vision Fundamentals of Digital Images Discussion of various machine vision system components Digital image processing related to quality control Overview of automation The book can be used by students and academics, as well as by industry professionals, to understand the fundamentals of machine vision. Updates to the on-going technological innovations have been provided with a discussion on emerging trends in machine vision and smart factories of the future. Sheila Anand is a PhD graduate and Professor at Rajalakshmi Engineering College, Chennai, India. She has over three decades of experience in teaching, consultancy and research. She has worked in the software industry and has extensive experience in development of software applications and in systems audit of financial, manufacturing and trading organizations. She guides Ph.D. aspirants and many of her research scholars have since been awarded their doctoral degree. She has published many papers in national and international journals and is a reviewer for several journals of repute. L Priya is a PhD graduate working as Associate Professor and Head, Department of Information Technology at Rajalakshmi Engineering College, Chennai, India. She has nearly two decades of teaching experience and good exposure to consultancy and research. She has delivered many invited talks, presented papers and won several paper awards in International Conferences. She has published several papers in International journals and is a reviewer for SCI indexed journals. Her areas of interest include Machine Vision, Wireless Communication and Machine Learning.

Intelligent Image Processing in Prolog

Author : Bruce G. Batchelor
Publisher : Springer Science & Business Media
ISBN 13 : 1447104013
Total Pages : 383 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Intelligent Image Processing in Prolog by : Bruce G. Batchelor

Download or read book Intelligent Image Processing in Prolog written by Bruce G. Batchelor and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: After a slow and somewhat tentative beginning, machine vision systems are now finding widespread use in industry. So far, there have been four clearly discernible phases in their development, based upon the types of images processed and how that processing is performed: (1) Binary (two level) images, processing in software (2) Grey-scale images, processing in software (3) Binary or grey-scale images processed in fast, special-purpose hardware (4) Coloured/multi-spectral images Third-generation vision systems are now commonplace, although a large number of binary and software-based grey-scale processing systems are still being sold. At the moment, colour image processing is commercially much less significant than the other three and this situation may well remain for some time, since many industrial artifacts are nearly monochrome and the use of colour increases the cost of the equipment significantly. A great deal of colour image processing is a straightforward extension of standard grey-scale methods. Industrial applications of machine vision systems can also be sub divided, this time into two main areas, which have largely retained distinct identities: (i) Automated Visual Inspection (A VI) (ii) Robot Vision (RV) This book is about a fifth generation of industrial vision systems, in which this distinction, based on applications, is blurred and the processing is marked by being much smarter (i. e. more "intelligent") than in the other four generations.

Intelligent Sensors

Author : H. Yamasaki
Publisher : Elsevier
ISBN 13 : 9780080523903
Total Pages : 308 pages
Book Rating : 4.5/5 (239 download)

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Book Synopsis Intelligent Sensors by : H. Yamasaki

Download or read book Intelligent Sensors written by H. Yamasaki and published by Elsevier. This book was released on 1996-04-22 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensors are the front end devices for information acquisition from the natural and/or artificial world. Higher performance of advanced sensing systems is achieved by using various types of machine intelligence. Intelligent sensors are smart devices with signal processing functions shared by distributed machine intelligence. Typical examples of intelligent sensors are the receptors and dedicated signal processing systems of the human sensory systems. The most important job of information processing in the sensory system is to extract necessary information from the receptors signals and transmit the useful information to the brain. This dedicated information processing is carried out in a distributed manner to reduce the work load of the brain. The processing also lightens the load of signal transmission through the neural network, the capacity of which is limited. Although the performance of the receptors in our human sensory system is not always ideal and is frequently inferior to that of man-made sensors, the total performance is usually far superior to those of our technical sensing systems. The weak points of human receptors are masked by the information processing. This processing makes our sensory system adaptable to the environment and optimizes system performance. The basic idea of this book, which contains new computing paradigms, is that the most advanced intelligent sensing system is the human sensory system. Section I reviews the technologies of intelligent sensors and discusses how they developed. Typical approaches for the realization of intelligent sensors emphasizing the architecture of intelligent sensing systems are also described. In section II, fundamental technologies for the fabrication of intelligent sensors and actuators are presented. Integration and micro-miniaturization techniques are emphasized. Section III presents advanced technologies approaching human sensory systems, these technologies are not directly aimed at practical applications, but introduce the readers to the development of engineering models of sensory systems. Technologies of integrated intelligent sensors, which will shortly be in use are introduced in section IV. In section V, examples are given of intelligent sensing systems which are used in industrial installations. Hardware for machine intelligence is not integrated at present, but can soon be implemented in the monolithic integrated structure. Without this machine intelligence, new functions, for example, self diagnosis or defects identification, cannot be realized. This section also demonstrates the potential of intelligent sensors in industry. Section VI introduces two interesting topics which are closely related to intelligent sensing systems. The first one is multisensor fusion. It is expected to be one of the fundamental and powerful technologies for realizing an advanced intelligent sensing systems. The second is visualizing technology of the sensed states for easy comprehension of the dynamic multi-dimensional state. This is useful for intelligent man-machine interfaces. This book will be recognised by readers as a milestone in the rapid progress of intelligent sensors.