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 AI 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 with readers the 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 IoT technologies, AI-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, AI, IIoT, MV, CV, and robotic technologies from different industries and economics.
Author Biography:
Dr. Alex Khang is a professor in information technology at the Universities of Science and Technology in Vietnam and United States; AI and data scientist, software industry expert, and the chief of technology officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States. He has more than 28 years of teaching and research experience in information technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT-based Technologies, and Cloud Computing) at the Universities of Science and Technology in Vietnam, India, and USA.
Dr. Anuradha Misra, Assistant Professor, Department of Computer Science & Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Lucknow Campus, India. She is in teaching profession in higher education for the past 14 years. She is the member of professional bodies like IAENG, IET (UK), Lifetime member AUN Research Labs, Member of IEDRC (International Economics Development and Research Center). Her main area of interest includes Database security, Software Engineering, Deep learning, Data Science and Machine Learning.
Dr. Vugar Abdullayev, Doctor of technical Sciences, is an associate professor, Azerbaijan State Oil and Industry University. Baku, Azerbaijan. He has completed his Ph.D. in computer science in the year 2005. He is currently as an associate professor of the “Computer engineering” department at the Azerbaijan State Oil and Industry University, Baku, Azerbaijan. He is author of 61 scientific papers. His researchers related to the study of the cyber physical systems, IoT, big data, smart city and information technologies.
Prof. Dr. Eugenia Litvinova, Doctor of Science, Professor of Computer Engineering Faculty, Design Automation Department, Kharkov National University of Radio Electronics, Ukraine. Her research areas: Digital Systems Testing and Testable Design, SoC Design Verification. Brain-like computing. New Technology in Education.
