Computer Vision and Image Analysis for Industry 4.0 (eBook)

Artikelnummer: 978-1-00-080478-2
Einband: Adobe Digital Editions
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Computer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments can be improved significantly if we integrate computer vision and image analysis techniques. The more advancement in innovation and research in computer vision and image processing, the greater the efficiency of machines as well as humans. Computer Vision and Image Analysis for Industry 4.0 focuses on the roles of computer vision and image analysis for 4.0 IR-related technologies. The text proposes a variety of techniques for disease detection and prediction, text recognition and signature verification, image captioning, flood level assessment, crops classifications and fabrication of smart eye-controlled wheelchairs.

Computer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments can be improved significantly if we integrate computer vision and image analysis techniques. The more advancement in innovation and research in computer vision and image processing, the greater the efficiency of machines as well as humans. Computer Vision and Image Analysis for Industry 4.0 focuses on the roles of computer vision and image analysis for 4.0 IR-related technologies. The text proposes a variety of techniques for disease detection and prediction, text recognition and signature verification, image captioning, flood level assessment, crops classifications and fabrication of smart eye-controlled wheelchairs.

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VerlagTaylor & Francis Ebooks
EinbandAdobe Digital Editions
Erscheinungsjahr2023
Seitenangabe213 S.
AusgabekennzeichenEnglisch
Abbildungen110 schwarz-weiße Abbildungen, 110 schwarz-weiße Zeichnungen
Auflage23001 A. 1. Auflage
PlattformEPUB
AutorSiddique, Nazmul (Hrsg.) / Arefin, Mohammad Shamsul (Hrsg.) / Ahad, Md Atiqur Rahman (Hrsg.) / Dewan, M. Ali Akber (Hrsg.)

Über den Autor Nazmul (Hrsg.) Siddique

Nazmul Siddique is a researcher at the School of Computing, Engineering, and Intelligent Systems, Ulster University. He has published over 170 research papers and several books on cybernetics and computational intelligence. His editorial roles in top journals highlight his academic influence and contributions.Mohammad Shamsul Arefin is a professor at the Department of CSE, CUET, and Dean of Electrical and Computer Engineering. He has over 170 publications in journals and conferences on data mining, distributed computing, and machine learning. His leadership has significantly fostered research growth and academic excellence in many aspects.Mohammad Abu Yousuf is currently the Vice-Chancellor of Bangabandhu Sheikh Mujibur Rahman Digital University, Bangladesh, and a Professor at the Institute of Information Technology, Jahangirnagar University. He holds a B.Sc. in Computer Science and Engineering from Shahjalal University of Science and Technology, an M.Eng. in Biomedical Engineering from Kyung Hee University, South Korea, and a Ph.D. in Science and Engineering from Saitama University, Japan. With over 125 publications in peer-reviewed journals, conferences, and book chapters, his research spans Medical Image Processing, Human-Robot Interaction, Computer Vision, and Natural Language Processing.M. Shamim Kaiser is a professor and Chairman at the Institute of Information Technology, Jahangirnagar University. He has authored over 100 research papers on machine learning, cyber security, and cognitive radio networks. His leadership at IIT has driven academic and research excellence in ICT.

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