Machine Vision for the Inspection of Natural Products

Machine Vision for the Inspection of Natural Products
Author: Mark Graves
Publisher: Springer Science & Business Media
Total Pages: 472
Release: 2006-05-18
Genre: Technology & Engineering
ISBN: 1852338539

Machine vision technology has revolutionised the process of automated inspection in manufacturing. The specialist techniques required for inspection of natural products, such as food, leather, textiles and stone is still a challenging area of research. Topological variations make image processing algorithm development, system integration and mechanical handling issues much more complex. The practical issues of making machine vision systems operate robustly in often hostile environments together with the latest technological advancements are reviewed in this volume. Features: - Case studies based on real-world problems to demonstrate the practical application of machine vision systems. - In-depth description of system components including image processing, illumination, real-time hardware, mechanical handling, sensing and on-line testing. - Systems-level integration of constituent technologies for bespoke applications across a variety of industries. - A diverse range of example applications that a system may be required to handle from live fish to ceramic tiles. Machine Vision for the Inspection of Natural Products will be a valuable resource for researchers developing innovative machine vision systems in collaboration with food technology, textile and agriculture sectors. It will also appeal to practising engineers and managers in industries where the application of machine vision can enhance product safety and process efficiency.

Machine Vision for the Inspection of Natural Products

Machine Vision for the Inspection of Natural Products
Author: Mark Graves
Publisher: Springer
Total Pages: 471
Release: 2013-10-03
Genre: Technology & Engineering
ISBN: 9781447139188

Machine vision technology has revolutionised the process of automated inspection in manufacturing. The specialist techniques required for inspection of natural products, such as food, leather, textiles and stone is still a challenging area of research. Topological variations make image processing algorithm development, system integration and mechanical handling issues much more complex. The practical issues of making machine vision systems operate robustly in often hostile environments together with the latest technological advancements are reviewed in this volume. Features: - Case studies based on real-world problems to demonstrate the practical application of machine vision systems. - In-depth description of system components including image processing, illumination, real-time hardware, mechanical handling, sensing and on-line testing. - Systems-level integration of constituent technologies for bespoke applications across a variety of industries. - A diverse range of example applications that a system may be required to handle from live fish to ceramic tiles. Machine Vision for the Inspection of Natural Products will be a valuable resource for researchers developing innovative machine vision systems in collaboration with food technology, textile and agriculture sectors. It will also appeal to practising engineers and managers in industries where the application of machine vision can enhance product safety and process efficiency.

4th European Conference of the International Federation for Medical and Biological Engineering 23 - 27 November 2008, Antwerp, Belgium

4th European Conference of the International Federation for Medical and Biological Engineering 23 - 27 November 2008, Antwerp, Belgium
Author: Jos van der Sloten
Publisher: Springer Science & Business Media
Total Pages: 2944
Release: 2009-02-04
Genre: Technology & Engineering
ISBN: 3540892087

The 4th European Congress of the International Federation for Medical and Biological Federation was held in Antwerp, November 2008. The scientific discussion on the conference and in this conference proceedings include the following issues: Signal & Image Processing ICT Clinical Engineering and Applications Biomechanics and Fluid Biomechanics Biomaterials and Tissue Repair Innovations and Nanotechnology Modeling and Simulation Education and Professional

Machine Vision Handbook

Machine Vision Handbook
Author: Bruce G. Batchelor
Publisher: Springer
Total Pages: 0
Release: 2012-02-14
Genre: Technology & Engineering
ISBN: 9781849961684

The automation of visual inspection is becoming more and more important in modern industry as a consistent, reliable means of judging the quality of raw materials and manufactured goods . The Machine Vision Handbook equips the reader with the practical details required to engineer integrated mechanical-optical-electronic-software systems. Machine vision is first set in the context of basic information on light, natural vision, colour sensing and optics. The physical apparatus required for mechanized image capture – lenses, cameras, scanners and light sources – are discussed followed by detailed treatment of various image-processing methods including an introduction to the QT image processing system. QT is unique to this book, and provides an example of a practical machine vision system along with extensive libraries of useful commands, functions and images which can be implemented by the reader. The main text of the book is completed by studies of a wide variety of applications of machine vision in inspecting and handling different types of object.

Machine Vision

Machine Vision
Author: E. R. Davies
Publisher: Elsevier
Total Pages: 973
Release: 2004-12-22
Genre: Computers
ISBN: 0080473245

In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directly addresses this need.As in earlier editions, E.R. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems.· Includes solid, accessible coverage of 2-D and 3-D scene analysis.· Offers thorough treatment of the Hough Transform—a key technique for inspection and surveillance.· Brings vital topics and techniques together in an integrated system design approach.· Takes full account of the requirement for real-time processing in real applications.

Handbook of Poultry Science and Technology, Secondary Processing

Handbook of Poultry Science and Technology, Secondary Processing
Author: Isabel Guerrero-Legarreta
Publisher: John Wiley and Sons
Total Pages: 632
Release: 2010-03-30
Genre: Technology & Engineering
ISBN: 0470504463

A comprehensive reference for the poultry industry—Volume 2 describes poultry processing from raw meat to final retail products With an unparalleled level of coverage, the Handbook of Poultry Science and Technology provides an up-to-date and comprehensive reference on poultry processing. Volume 2: Secondary Processing covers processing poultry from raw meat to uncooked, cooked or semi-cooked retail products. It includes the scientific, technical, and engineering principles of poultry processing, methods and product categories, product manufacturing and attributes, and sanitation and safety. Volume 2: Secondary Processing is divided into seven parts: Secondary processing of poultry products—an overview Methods in processing poultry products—includes emulsions and gelations; breading and battering; mechanical deboning; marination, cooking, and curing; and non-meat ingredients Product manufacturing—includes canned poultry meat, turkey bacon and sausage, breaded product (nuggets), paste product (pâté), poultry ham, luncheon meat, processed functional egg products, and special dietary products for the elderly, the ill, children, and infants Product quality and sensory attributes—includes texture and tenderness, protein and poultry meat quality, flavors, color, handling refrigerated poultry, and more Engineering principles, operations, and equipment—includes processing equipment, thermal processing, packaging, and more Contaminants, pathogens, analysis, and quality assurance—includes microbial ecology and spoilage in poultry and poultry products; campylobacter; microbiology of ready-to-eat poultry products; and chemical and microbial analysis Safety systems in the United States—includes U.S. sanitation requirements, HACCP, U.S. enforcement tools and mechanisms

Growing Business Innovation

Growing Business Innovation
Author: Jonathan Reuvid
Publisher: Legend Press
Total Pages: 236
Release: 2019-11-01
Genre: Business & Economics
ISBN: 1789550270

Innovation is fundamental to business, which in turn contributes to economies and societies moving forward. Traditionally it means ‘a new idea, device, technique or method’ but increasingly it now refers to ideas that provide better solutions, meet the needs or even provide the answers to something not yet a problem.Growing Business Innovation addresses areas such as collaboration, challenges for large and small organisations, measuring innovation and getting a return on your investment. It provides answers to questions such as:•How do innovation and AI interact•Can the innovation gap between corporates and SMEs be filled?•What are the options for brand protection and dispute resolution?•How can you claim R&D tax credits?•How can business growth be achieved through industry-academia interactions?•What is the impact of GDPR on IP work?•How can you manage IP in your start-up business?•How can business growth be achieved industry-academia interactions?No matter what stage, innovation needs nurturing and this book will act as an invaluable guide with support and advice from authors who are themselves innovators.

Learning in Non-Stationary Environments

Learning in Non-Stationary Environments
Author: Moamar Sayed-Mouchaweh
Publisher: Springer Science & Business Media
Total Pages: 439
Release: 2012-04-13
Genre: Technology & Engineering
ISBN: 1441980202

Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system complexity and state changes, information sources, the need for faster data handling and the integration of environmental influences. Intelligent systems, equipped with a taxonomy of data-driven system identification and machine learning algorithms, can handle these problems partially. Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences. Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dynamic learning methods serve as keystones for achieving models with high accuracy. Rather than rely on a mathematical theorem/proof style, the editors highlight numerous figures, tables, examples and applications, together with their explanations. This approach offers a useful basis for further investigation and fresh ideas and motivates and inspires newcomers to explore this promising and still emerging field of research.

Computer and Machine Vision

Computer and Machine Vision
Author: E. R. Davies
Publisher: Academic Press
Total Pages: 912
Release: 2012-04-18
Genre: Technology & Engineering
ISBN: 0123869919

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject. Key features include: - Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving engineers the realities of implementing the principles in practice - New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision - Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples - Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging - The 'recent developments' section now included in each chapter will be useful in bringing students and practitioners up to date with the subject - Mathematics and essential theory are made approachable by careful explanations and well-illustrated examples - Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging - The 'recent developments' section now included in each chapter will be useful in bringing students and practitioners up to date with the subject

Effective Document and Data Management

Effective Document and Data Management
Author: Bob Wiggins
Publisher: Routledge
Total Pages: 436
Release: 2016-04-29
Genre: Business & Economics
ISBN: 1317145593

Effective Document and Data Management illustrates the operational and strategic significance of how documents and data are captured, managed and utilized. Without a coherent and consistent approach the efficiency and effectiveness of the organization may be undermined by less poor management and use of its information. The third edition of the book is restructured to take this broader view and to establish an organizational context in which information is management. Along the way Bob Wiggins clarifies the distinction between information management, data management and knowledge management; helps make sense of the concept of an information life cycle to present and describe the processes and techniques of information and data management, storage and retrieval; uses worked examples to illustrate the coordinated application of data and process analysis; and provides guidance on the application of appropriate project management techniques for document and records management projects. The book will benefit a range of organizations and people, from those senior managers who need to develop coherent and consistent business and IT strategies; to information professionals, such as records managers and librarians who will gain an appreciation of the impact of the technology and of how their particular areas of expertise can best be applied; to system designers, developers and implementers and finally to users. The author can be contacted at [email protected] for further information.