Machine Vision for Industry 4.0 : Applications and Case Studies (Paperback)

Chapter 1. Challenges in Industry 4.0 for Machine Vision: A Conceptual Framework, A Review, and Numerous case studies, Chapter 2. Practical issues in robotics internet of things, Chapter 3. Role of sensing techniques in precision agriculture, Chapter 4. Perspectives on Deep Learning Techniques for Industrial IoT, Chapter 5. Missing person locator and identifier using artificial intelligence and supercomputing techniques proposal, Chapter 6. Inclusion of Impaired People in Industry 4.0: An Approach to Recognize Orders of Deaf-mute Supervisors through an Intelligent Sign Language Recognition System, Chapter 7. A Deep Learning Approach to Classify the Causes of Depression from Reddit Posts, Chapter 8. Psychiatric ChatBOT for COVID-19 using Machine Learning Approaches, Chapter 9. An Analysis of Drug ? Drug Interaction (DI) using Machine Learning Techniques in Drug Development Process, Chapter 10. Image Processing based Fire Detection using IOT devices, Chapter 11. Crowd Estimation in Train by using Machine Vision, Chapter 12. Analysis of Machine Learning Algorithm to predict Wine Quality, Chapter 13. Machine Vision in Industry 4.0: Applications, Challenges and Future Directions, Chapter 14. Industry 5.0: The Integration of Modern Technologies