Machine vision for industry 4.0
Sold by Books Puddle, New York, NY, U.S.A.
AbeBooks Seller since 22 November 2018
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: 3 available
Add to basketSold by Books Puddle, New York, NY, U.S.A.
AbeBooks Seller since 22 November 2018
Condition: New
Quantity: 3 available
Add to basketpages cm First edition Includes bibliographical references and index.
Seller Inventory # 26397702136
This book discusses the use of machine vision and technologies in specific engineering case studies and focuses on how machine vision techniques are impacting every step of industrial processes and how smart sensors and cognitive big data analytics are supporting the automation processes in Industry 4.0 applications.
Industry 4.0, the Fourth Industrial Revolution, combines traditional manufacturing with automation and data exchange. Machine vision is used in the industry for reliable product inspections, quality control, and data capture solutions. It combines different technologies to provide important information from the acquisition and analysis of images for robot-based inspection and guidance.
Features
The book addresses scientific aspects for a wider audience such as senior and junior engineers, undergraduate and postgraduate students, researchers, and anyone interested in the trends, development, and opportunities for machine vision for Industry 4.0 applications.
Dr. Roshani Raut is an Associate Professor in the Department of Information Technology and also handling the charge of Associate Dean International Relations at Pimpri Chinchwad College of Engineering, Pune, India. She completed her doctorate in computer science and engineering. She has more than 17 years of experience and is a member of ACM and ISTE. She has availed the research and workshop grants from BCUD, Pune University. She has presented more than 70 research communications in national and international conferences and journals and published 15 patents. She has been invited as a TPC member and session chair for various national and international conferences. She has served as editor for various books of IGI Global, CRC Press/Taylor & Francis, and Scrivener Wiley, etc. Her research area includes Artificial Intelligence, Machine Learning, Data Mining, Deep Learning, Internet of Things, and so on. Her details are available on https://roshaniraut531.wixsite.com/roshaniraut/
Dr. Salah-ddine Krit is an Associate Professor at the Polydisciplinary Faculty of Ouarzazate, Ibn Zohr University Agadir Morocco, He is currently the Director of Engineering Science and Energies Laboratory and the Chief of the Department of Mathematics, Informatics and Management. He received his PhD in software engineering from Sidi Mohammed Ben Abdellah University, Fez, Morroco. He worked as an Engineer Team Leader in audio and power management integrated circuits research, design, simulation and layout of analog and digital blocks dedicated for mobile and satellite communication systems. He has authored and co-authored over 130 journal articles, proceedings, and book chapters published by reputable publishers.
Dr. Prasenjit Chatterjee is an Associate Professor of Mechanical Engineering Department at the MCKV Institute of Engineering, India. He has published over 80 research papers in various international journals and has received numerous awards including Outstanding Researcher Award and University Gold Medal. He has been the guest editor of several special issues and has edited and authored several books on decision-making approaches and sustainability. He is the Lead Series Editor of International Perspectives on Decision Analysis and Operations Research, Emerald Group Publishing. Dr. Chatterjee is one of the developers of a new data-driven multiple-criteria decision-making method called Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS).
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