Buch, Englisch, 512 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 1110 g
Approaches, Technologies, and Applications
Buch, Englisch, 512 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 1110 g
ISBN: 978-1-032-56597-2
Verlag: Taylor & Francis Ltd (Sales)
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.
Zielgruppe
Professional Reference
Autoren/Hrsg.
Weitere Infos & Material
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