Machine Vision for Industry 4.0
eBook - ePub

Machine Vision for Industry 4.0

Applications and Case Studies

  1. 302 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Machine Vision for Industry 4.0

Applications and Case Studies

About this book

This book discusses the use of machine vision and technologies in specific engineering case studies and focuses on how machine vision techniques are impacting every step of industrial processes and how smart sensors and cognitive big data analytics are supporting the automation processes in Industry 4.0 applications.

Industry 4.0, the Fourth Industrial Revolution, combines traditional manufacturing with automation and data exchange. Machine vision is used in the industry for reliable product inspections, quality control, and data capture solutions. It combines different technologies to provide important information from the acquisition and analysis of images for robot-based inspection and guidance.

Features



  • Presents a comprehensive guide on how to use machine vision for Industry 4.0 applications, such as analysis of images for automated inspections, object detection, object tracking, and more



  • Includes case studies of Robotics Internet of Things with its current and future applications in healthcare, agriculture, and transportation



  • Highlights the inclusion of impaired people in the industry, for example, an intelligent assistant that helps deaf-mute individuals to transmit instructions and warnings in a manufacturing process



  • Examines the significant technological advancements in machine vision for Industrial Internet of Things and explores the commercial benefits using real-world applications from healthcare to transportation



  • Discusses a conceptual framework of machine vision for various industrial applications

The book addresses scientific aspects for a wider audience such as senior and junior engineers, undergraduate and postgraduate students, researchers, and anyone interested in the trends, development, and opportunities for machine vision for Industry 4.0 applications.

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Yes, you can access Machine Vision for Industry 4.0 by Roshani Raut, Salahddine Krit, Prasenjit Chatterjee, Roshani Raut,Salahddine Krit,Prasenjit Chatterjee in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Computer Graphics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Contents
  7. Preface
  8. Acknowledgments
  9. Editors
  10. Contributors
  11. Chapter 1 Challenges in Industry 4.0 for Machine Vision: A Conceptual Framework, a Review and Numerous Case Studies
  12. Chapter 2 Practical Issues in Robotics Internet of Things
  13. Chapter 3 The Role of Sensing Techniques in Precision Agriculture
  14. Chapter 4 Perspectives on Deep Learning Techniques for Industrial IoT
  15. Chapter 5 Proposal for Missing Person Locator and Identifier Using Artificial Intelligence and Supercomputing Techniques
  16. Chapter 6 Inclusion of Impaired People in Industry 4.0: An Approach to Recognise Orders of Deaf-Mute Supervisors through an Intelligent Sign Language Recognition System
  17. Chapter 7 A Deep Learning Approach to Classify the Causes of Depression from Reddit Posts
  18. Chapter 8 Psychiatric Chatbot for COVID-19 Using Machine Learning Approaches
  19. Chapter 9 An Analysis of Drug-Drug Interactions (DDIs) Using Machine Learning Techniques in the Drug Development Process
  20. Chapter 10 Image Processing-Based Fire Detection Using IoT Devices
  21. Chapter 11 Crowd Estimation in Trains by Using Machine Vision
  22. Chapter 12 Analysis of a Machine Learning Algorithm to Predict Wine Quality
  23. Chapter 13 Machine Vision in Industry 4.0: Applications, Challenges and Future Directions
  24. Chapter 14 Industry 5.0: The Integration of Modern Technologies
  25. Index