Discover the essential guide to harnessing the power of cutting-edge smart sensors in Industry 4.0, offering deep insights into fundamentals, fabrication techniques, and real-world IIoT applications, equipping you with the knowledge to revolutionize your industrial processes and stay ahead in the digital era. Over the last decade, technologies like the Internet of Things (IoT), big data, cloud computing, blockchain, artificial intelligence (AI), machine learning, device automation, smart sensors, etc., have become highly developed fundamental supports of Industry 4.0, replacing the conventional production systems with advanced methods, and thereby endorsing the smart industry vision. Industry 4.0 is more flexible and agile in dealing with several risk factors, further enabling improved productivity and efficiency, distribution, increased profitability, data integrity, and enhancing customer experience in the current commercial environment. For understanding and analyzing the environment, sensors play a major role in performing the measurements based on computation-produced results from the surrounding environment. Sensors have a wide range of applications for smart industrial operations. The evolution of flexible, low-cost, and multipurpose sensors and their system integration has been examined to develop advanced devices with applications in numerous fields of technology. With the development of both the Internet of Things (IoT) and the Industrial IoT (IIoT), advanced sensors and their associated applications are developing, resulting in the necessity for IoT sensors to be used for several industrial applications. Beneficial aspects of this book include: The latest research in materials and methodology for the fabrication of intelligent sensors, its IoT system integration, and IIoT applications are brought together; Promotes a vision towards making sensor-based monitoring and control of smart industry; Recent advances and challenges of smart sensors are discussed with an emphasis on unmet challenges and future directions of a roadmap to Industry 4.0. Audience This book is highly recommended to a wide range of researchers and industry engineers working in the area of fabrication and integration of industrial smart sensors for IIoT applications, advanced materials for sensor technology, fabrication and characterization of IoT sensors, development of low-cost sensors, sensor system design and integration, and its industrial applications. Post-graduate students from different streams like computer science, electronics and electrical engineering, information technology, electronic communication, etc. will benefit from reading this book.

Table of Contents:
List of Figures xii List of Tables xv Foreword xvii Preface xix Acknowledgments xxi Acronyms xxiii 1 IoT-Based Health Monitoring Using a Hybrid Machine Learning Model 1 Shiplu Das, Gargi Chakraborty, Debarun Joardar, Subrata Paul, Buddhadeb Pradhan 2 Addressing Overcrowding: A Plight for Smart Cities 15 P R Anisha, Rithika Badam, Vijaya Sindhoori Kaza 3 Smart Sensors for Environmental Monitoring in Industry 4.0 39 Nimish Kumar, Himanshu Verma, Yogesh Kumar Sharma 4 A Novel Hybrid Smart Appliances Control Framework for Specially Challenged Persons 57 Suprava Ranjan Laha, Saumendra Pattnaik, Sushil Kumar Mahapatra, Binod Kumar Pattanayak 5 An IoT-based Framework for PUC Monitoring of 2- or 4-Wheeler Vehicle 71 Shivnath Ghosh, Subrata Paul, Liza kazima Karishma, Sudeep Karmakar 6 Farm Shielding: A Shielding Experience That Takes a New Turn 83 Tanvi Vaze, Harshal Vavale, Janvi Agarwal, Vaishnavi Telang, Ravindra Bachate 7 Checkmate: An IoT Integrated Tangible Chessboard 95 Riya Narake, Shruti Wagh, Abhishek Tupe, Ravindra Bachate 8 Intelligent Systems and Robotics for Wastewater Management Across India: A Study and Analysis 109 Kishore Kumar Reddy, P. Yashashwini Reddy, Marlia M. Hanafiah, Srinath Doss 9 Text-Based Prediction and Classification Model of Stress, Anxiety and Depression Among Indians 131 Kishor Kumar Reddy C, Tungana Bhavya, Anisha P R, Marlia Mohd Hanafiah 10 Industry 4.0: Security Challenges and Opportunities of the IIoT 149 Uttara Gogate, Alok Ranjan Prusty, Munesh Singh 10.1 Introduction 150 11 Role of Machine Learning and Deep Learning in Smart Sensors 161 Arka De, Sameeksha Saraf, Tusar Kanti Mishra, B.K. Tripathy 12 Drone-Based Traffic Flow Management for Smart Cities: Problems and Solutions 177 Nimish Kumar, Himanshu Verma Yogesh, Kumar Sharma References 199 Index 203