Machine Vision Analysis in Industry 5.0 -

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Editeur : Chapman And Hall/Crc

Langue : Anglais

Parution : 01/09/2025

Format : Moyen, de 350g à 1kg

Nombre de pages : 190.0

ISBN : 9781032874494

Résumé :

This book is an introduction to fundamental techniques of image analysis with machine vision and their applicability in Industry 5.0. It provides basic and emerging techniques in the field of image analysis and machine vision in Industry 5.0. It also covers an extensive study of recent related work and research challenges in the field. Further, it discusses some effective solutions to address the challenges of digitally transforming industrial activities and improving their efficiency.

• Provides effective and robust machine vision-enabled methods across different industrial fields, emphasizing their applicability and reliability
• Covers the emerging concepts of image analysis and machine vision utilized in the digital transformation of manufacturing activities under Industry 5.0
• Discusses conceptual methodologies of image analysis and machine vision tailored for various industrial applications, providing insights into their practical implementation
• Practical issues on implementing machine vision applications with image analysis techniques in Industry 5.0 are addressed, offering guidance on method implementation
• Includes case studies of various industrial processes, highlighting current challenges and presenting effective solutions, offering real-world insights into the application of machine vision

It is a reference book for research students, scientists, and professionals working in the fields of image processing, computer vision, and the Internet of Things.

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Biographie:

Dr. Vivek Kumar Singh is currently working as Assistant Professor in the Department of Computer Science and Engineering, School of Engineering and Technology at Sharda University, India. He received Ph.D. in Computer Science and Engineering from National Institute of Technology, Uttarakhand, M. Tech in Software Engineering from Motilal Nehru National Institute of Technology Allahabad and B. E. in Computer Science and Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal. He has published good quality research articles in reputed international journals and conferences including seven SCI and SCI-E indexed journals and 11 conferences out of which two are awarded best paper. He has edited a book that has been published by CRC Press. His areas of interest are Computer Vision, Artificial Intelligence, Machine Learning and Visual Attention Modeling. He is involved in reviewing process in different reputed journals and conferences.

Dr. Jitendra Kumar is with the Department of Mathematics, Bioinformatics, and Computer Applications at Maulana Azad National Institute of Technology Bhopal, India. Prior to this, he was with National Institute of Technology Tiruchirappalli, Tamilnadu, India (An Institution of National Importance). Dr. Kumar obtained his doctorate degree in Machine Learning from National Institute of Technology Kurukshetra, Haryana, India. He has published more than 35 research papers in reputed SCI indexed Journals and conferences. Dr. Kumar is a proud recipient of Best Paper and Best PhD Thesis awards. He is actively involved in editing books and special issues for journals of high repute including IEEE Journal of Biomedical and Healthcare Informatics. He is a senior member of IEEE and a member of ACM and MIAENG. He also serves as a review board member of various journals of repute like 'IEEE Transactions on Parallel and Distributed Systems', 'IEEE Systems Journal', 'Future Generation Computer Systems', 'IEEE Access' etc.

Dr. Deepika Saxena is working as an Associate Professor in the Division of Information Systems at the University of Aizu, Japan. She received her Ph.D. degree in Computer Science from the National Institute of Technology, Kurukshetra, India, and completed her Post Doctorate from the Department of Computer Science at Goethe University, Frankfurt, Germany. She is the recipient of the prestigious IEEE TCSC 2024 Early Career Researcher Award, IEEE TCSC 2023 Outstanding Ph.D. Dissertation Award, EUROSIM 2023 Best Ph.D. Thesis Award, and the 2022 Best Paper Award from IEEE Transactions on Cloud Computing Journal. She is the recipient of the prestigious JSPS KAKENHI Early Career Young Scientist Research Grant FY2024. She served as a visiting researcher at CERN in Geneva, Switzerland. With over 60 publications, she has made impactful contributions to cloud computing, cybersecurity, neural networks, quantum machine learning, and more. She has served as a Visiting Researcher at CERN, Switzerland, and is currently a Guest Editor for Elsevier CEE journal and IEEE JBHI. Dr. Saxena actively reviews for high-ranking journals and conferences.

Dr. Abhishek Verma is currently working as an Assistant Professor in the Department of Information Technology at Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, India. Previously, he served as an Assistant Professor in the Department of Computer Science &...