Industry Automation: The Technologies, Platforms and Use Cases

Pethuru Raj, Abhishek Kumar, Ananth Kumar, Neha Singhal

• Publisher: River Publishers
• Year: 2024
• Print ISBN: 9788770040396
• eBook ISBN: 9781040123683
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Energy
• Index: Technology & Engineering

This book details cutting-edge technologies, versatile tools, adaptive processes, integrated platforms, and best practices of digitized systems. With the faster maturity and stability of digitization and digitalization technologies, all kinds of physical, mechanical, and electrical systems in our everyday environments (homes, hotels, hospitals, manufacturing floors, etc.) have become digitized systems. Such technology has empowered systems to gain the power to join and contribute to fulfilling the goals of modern computing. Such digitized entities assist in producing and deploying hugely complicated yet sophisticated context-aware services and applications. The other principal contribution is capturing environmental data in real time and enabling local data processing to bring forth actionable insights. This facilitates insight-driven decisions and deeds. Precisely speaking, the aspects of real-time knowledge discovery and dissemination enable the creation and delivery of real-time and real-world features and functionalities.

All industrial artifacts are being digitized, connected and empowered to be cognitive in their operations, offerings and outputs. By smartly leveraging a dazzling array of digital technologies and tools, the interaction and collaboration with human experts becomes hugely simplified and speeded up considerably. Such cognition-enabled industrial machineries, equipment, appliances, assembly lines, robots, vehicles, drones, and other assets collectively provide an intelligent environment to envisage and realize state-of-the-art industry 4.0 and 5.0 applications. Every industrial process gets optimized and automated to produce next-generation products to ensure customer delight, to explore fresh avenues to enhance revenues and to embark on higher productivity.

In addition, there are chapters illustrating industrial use cases, infrastructure optimization, technology assimilation, and AI-powered data analytics towards industry automation.

Table of contents

• Cover Page
• Half Title page
• Series Page
• Title Page
• Copyright Page
• Contents
• Preface
• List of Figures
• List of Tables
• List of Contributors
• List of Abbreviations
• 1 An Analytical Framework for the Industrial Internet of Things (IIoT): Importance, Recent Challenges, and Enabling Technologies
• 2 Industry Automation: The Contributions of Artificial Intelligence (AI)
• 3 Industry Automation: The Contributions of Artificial Intelligence
• 4 Artificial Intelligence (AI) Driven Industrial Automation
• 5 Quantum Machine and Deep Learning Models for Industry Automation
• 6 The Contribution of Computer Vision in the Manufacturing Industries and the Scope for Further Excellence
• 7 Waste Management 4.0: An Industry Automation Approach to the Future Waste Management System
• 8 Industrial Internet of Things (IIoT) for E-waste Recycling System
• 9 A Multi-hazard Industry Assessment System Based on Unmanned Aerial Vehicles (UAVs) for Bridges Crossing Seasonal Rivers
• 10 Air Quality Prediction using Machine Learning Techniques for Intelligent Monitoring Systems
• 11 Facial Emotion Classification for Industry Automation using Convolutional Neural Networks
• 12 Automatic Hand Sanitizer Dispenser by Industrial Automation using Arduino and Photodiode
• 13 Energy Efficiency Investigation in Massive MIMO Communication for Industry Automation using Precoding Schemes
• 14 Internet of Things and Cybersecurity Mechanism for Industrial Automation Systems
• 15 Illustrating the Mesmerizing Edge AI Journey for Industry Automation
• 16 Edge Computing and Analytics: A New Computing Paradigm for Better User Experience
• Index
• About the Editors