ENGLISH

Machine Vision for Industry 4.0: Applications and Case Studies

By R. Raut , S. Krit , P. Chatterjee

Book information

Year
2022
ISBN
2021034743, 9780367637125, 9780367641641, 9781003122401
Language
english
Format
PDF
Filesize
12 MB (12350582 bytes)
Pages
323\323
Time added
2022-04-02 22:47:40

Description

Cover Half Title Title Page Copyright Page Dedication Contents Preface Acknowledgments Editors Contributor 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: The Role of Sensing Techniques in Precision Agriculture Chapter 4: Perspectives on Deep Learning Techniques for Industrial IoT Chapter 5: Proposal for Missing Person Locator and Identifier Using Artificial Intelligence and Supercomputing Techniques 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 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 Interactions (DDIs) Using Machine Learning Techniques in Drug Development Process Chapter 10: Image Processing-Based Fire Detection Using IoT Devices Chapter 11: Crowd Estimation in Trains by Using Machine Vision Chapter 12: Analysis of a 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 Index

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