About the Book
The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven IoT systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc.
A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0.
This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering.
Table of Contents:
Chapter 1 A Novel Hybrid Approach Based on Attribute-Based Encryption for Secured Message Transmittal for Sustainably Smart Networks
Sucheta Panda, Sushree Bibhuprada B. Priyadarshini, Biswa Mohan Acharya, Tripti Swarnkar, and Sachi Nandan Mohanty
Chapter 2 Object Detection Using Deep Learning (DL) and OpenCV Approach
Ajit Kumar Mahapatra, Sushree Bibhuprada B. Priyadarshini, Lokesh Kumar Nahata, Smita Rath, Nikhil Singh, Shatabdi Chakraborty, Jyotirmayee Pradhan, Sachi Nandan Mohanty, and Prabhat Sahu
Chapter 3 Enhancing Industrial Operations through AI-Driven Decision-Making in the Era of Industry 4.0
Prakruthi R Rai, Preethi Nanjundan, and Jossy Paul George
Chapter 4 Acne Detection Using Convolutional Neural Networks and Image-Processing Technique
Premanand Ghadekar, Aniket Joshi, Atharv Vanjari, Mohammed Raza, Shubhankar Gupta, and Anagha Gajaralwar
Chapter 5 Key Driving Technologies for Industry 4.0
Anesh D Sundar ArchVictor and C. Emilin Shyni
Chapter 6 Opportunities and Challenges of Digital Connectivity for Industrial Internet of Things
Mahesh Visveshwarappa
Chapter 7 Malicious QR Code Detection and Prevention
Premanand Ghadekar, Faijan Momin, Tushar Nagre, Sanika Desai, Prathamesh Patil, and Vinay Aher
Chapter 8 Integration of Advanced Technologies for Industry 4.0
Tanmay Paliwal, Aditya Sikdar, and Zidan Kachhi
Chapter 9 Challenges in Digital Transformation and Automation for Industry 4.0
Manjari Sharma, Tanmay Paliwal, and Payashwini Baniwal
Chapter 10 Design and Analysis of Embedded Sensors for IIoT: A Systematic Review
Kogila Raghu and Macharla Mounika
Chapter 11 AI for Optimal Decision-Making in Industry 4.0
Ravichandran Bargavi
Chapter 12 Challenges in Lunar Crater Detection for TMC-2 Obtained DEM Image Using Ensemble Learning Techniques
Sanchita Paul, Chinmayee Chaini, and Sachi Nandan Mohanty
Chapter 13 A Framework of Intelligent Manufacturing Process by Integrating Various Function
T. Rajasanthosh Kumar, Laxmaiah G., and S. Solomon Raj
Chapter 14 Adaptive Supply Chain Integration in Smart Factories
Deepak Mathivathanan and Sivakumar Kirubanandan
Chapter 15 Implementation of Intelligent CPS for Integrating the Industry and Manufacturing Process
T. Rajasanthosh Kumar, Mahesh. M. Kawade, Gaurav Kumar Bharti, and Laxmaiah G.
Chapter 16 Machine-Learning-Enabled Stress Detection in Indian Housewives Using Wearable Physiological Sensors
Shruti Gedam and Sanchita Paul
Chapter 17 Rising of Dark Factories due to Artificial Intelligence
Anjali Mathur
Chapter 18 Deep Learning for Real-Time Data Analysis from Sensors
Sagar C V, Harshit Bhardwaj, and Anupama Bhan
Chapter 19 Blockchain as a Controller of Security in Cyber-Physical Systems: A Watchdog for Industry 4.0
Adri Jovin John Joseph, Marikkannan Mariappan, and Marikkannu P.
Chapter 20 Energy Management in Industry 4.0 Using AI
Jeevitha D, Deepa Jose, Sachi Nandan Mohanty, and A. Latha
Chapter 21 Deployment of IoT with AI for Automation
Abith Kizhakkemuri Sunil, Preethi Nanjundan, and Jossy Paul George
Chapter 22 A Comparison of the Performance of Different Machine Learning Algorithms for Detecting Face Masks
Andra Likhith Sai, Gona Jordan Ryan, Namoju Prudhvi Sai, and Neeraj Kumar Misra
