About the Book
This book covers the basics of machine vision and robotics in the manufacturing industry. Major applicability of intelligent machines and robotics in the manufacturing sector are explored in three major areas of product traceability, remote product-monitoring, supply chain, logistics, and product record management. Machine Vision and Industrial Robotics in Manufacturing: Approaches, Technologies, and Applications explains advanced technologies based on Artificial Intelligence and Industrial Internet of Things related to smart manufacturing applications.
The book introduces the emerging machines and robotics applications that are enabling smart factories initiatives worldwide. The chapters examine labor productivity, factory device installation, and defective product detection. The authors share modern models, emerging technologies, designs, frameworks, theories, practices, and sustainable approaches to design and implement machine vision with industrial robotics. They also examine the challenging issues associated with the leveraging of technologies related to machine vision, computer vision, robotics, Internet of Things, Industrial Internet of Things technologies, Artificial Intelligence-equipped machines, applications, and automatic techniques for intelligent manufacturing systems and smart factory infrastructure in the era of Industry 4.0 manufacturing. The authors also examine topics such as the role of existing management and production solutions, their limitations, and future directions in manufacturing industry.
This book targets a mixed audience of students, engineers, scholars, researchers, academics, and professionals who are learning, researching, and working in the field of machine vision, Artificial Intelligence, Industrial Internet of Things, computer vision, and robotic technologies from different industries and economics.
Table of Contents:
Chapter 1. Role of Machine Vision in Manufacturing and Industrial Revolution 4.0
Chapter 2. Role of Computer Vision in Manufacturing Industry
Chapter 3. Application of Computer Vision in Manufacturing
Chapter 4. Application of Robotics in Manufacturing Industry
Chapter 5. Application of Industrial Robotics in Manufacturing
Chapter 6. Enabling the Future of Manufacturing: Integration of Robotics and IoT to Smart Factory Infrastructure in Industry 4.0
Chapter 7. Role of Computer Vision (CV) in Manufacturing: Seeing Is Believing
Chapter 8. Application of Artificial Intelligence and Internet of Things in Manufacturing Sector
Chapter 9. Integration of Artificial Intelligence and Internet of Things Technology Solutions in Smart Manufacturing
Chapter 10. Multimodal Dialogue Systems in the Era of Artificial Intelligence-Assisted Industry
Chapter 11. Artificial Intelligence-Based Human Activity Recognition Using Real Time Videos
Chapter 12. Application of Industrial Internet of Things Technologies in Manufacturing Industry
Chapter 13. Internet of Things-Integrated Robotics in Manufacturing
Chapter 14. Robotic Process Applications and Tools for Manufacturing Sector
Chapter 15. Robotics in Real-Time Applications for Aviation Devices
Chapter 16. Machine Vision And Industrial Robotics In Manufacturing
Chapter 17. Application of Pressure Sensors in Manufacturing: Improving Efficiency and Risk Mitigation
Chapter 18. Online Internet of Things-Based Estimation of SoC, SoH and SoP for a LiB Electric Bus
Chapter 19. Influence of Internal and External Conditions on Floating Solar Photovoltaic System with Internet of Things
Chapter 20. Analysis of Internet of Things-Integrated Technology in a Smart Factory
Chapter 21: Revolutionizing Manufacturing: The Impact of Internet of Things Technologies in Smart Factories
Chapter 22. Green Intelligent and Sustainable Manufacturing: Key Advancements, Benefits, Challenges, and Applications for Transforming Industry
Chapter 23. Enterprise Resource Planning and Accounting Information Systems: Modeling the Relationship in Manufacturing
Chapter 24. Ransomware Resilience Strategies for Manufacturing Systems: Safeguarding the Enterprise Resource Planning and Human Resource Management Data
Chapter 25. Breaking Barriers: Empowering Women in Manufacturing with Machine Vision and Industrial Robotics
Chapter 26. Optimization of Data-Transfer Machines and Cloud Data Platforms Integration in Industrial Robotics
About the Author :
Alex Khang, D.Sc., D.Litt., is a professor of Information technology, an AI and data scientist and senior portfolio manager at the Global Research Institute of Technology and Engineering, Raleigh, North Carolina. He has more than 28 years of experience in teaching computer and data science at universities and other institutions in Vietnam, India, and the United States. He has held the titles of software product manager, data engineer, AI engineer, cloud computing architect, solution architect, software architect, and database expert working for international corporations in Germany, Sweden, and Singapore, among others. He has published 74 Scopusindexed documents, 54 authored books (on software development), 25 edited books, and 50 book chapters, in addition to upcoming projects, in the field of artificial intelligence. ORCID: 0000-0001-8379-4659.
Vugar Abdullayev Hajimahmud, D.Sc., is an associate professor at Azerbaijan University of Architecture and Construction and Azerbaijan State Oil and Industry University, Baku. He is author of 61 scientific papers. His research is related to the study of cyber–physical systems, Internet of Things, Big Data, smart city, and information technologies. He has published four book chapters and two edited books in healthcare ecosystems. ORCID: 0000-0002-3348-2267.
Anuradha Misra, D.Sc., is assistant professor at Amity University, Uttar Pradesh, Lucknow Campus, India. She has taught in higher education for the past 14 years. She is member of professional organizations such as IAENG and IET (UK), a lifetime member of AUN Research Labs, and a member of IEDRC. She has edited and reviewed various referred and peer-reviewed journals. She has presented various papers in different national and international conferences. ORCID: 0000- 0002-7479-7636.
Eugenia Litvinova, D.Sc., is professor at Kharkov National University of Radio Electronics, Ukraine. Her research areas include: Digital systems testing and testable design, SOC design verification, and brain-like computing, computer-aided system for logic simulation, test generation, and fault diagnosis of digital devices and systems. She has been a member of an organizing committee of IEEE East- West Design & Test Symposium since 2007. She also is an assistant editor of the scientific journal Radio Electronics and Informatics. She has published more than 240 publications, including 9 books, and 90 Scopus-indexed documents. ORCID: 0000-0002-9797-5271.
