9 Intelligent solutions for future smart industries
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Abstract
This presents a thorough examination of the evolving landscape of modern industries, underscoring the significant transformation from conventional practices to advanced, smart systems. It begins by tracing the historical evolution of industries, mapping the journey from manual, labor-intensive methods to the advent of mechanized and automated processes that characterize contemporary production. This context helps readers appreciate the gradual but profound shift towards smart industry paradigms, where traditional methodologies are seamlessly integrated with cuttingedge technologies. In particular, the chapter defines the core attributes of smart industries, emphasizing adaptability, resilience, and efficiency as essential qualities in today’s competitive global market. Smart industries are positioned as not just technologically advanced but also deeply interconnected ecosystems that leverage real-time data, advanced analytics, and predictive models to enhance productivity and respond proactively to market demands. Central to this transformation is the integration of key enabling technologies such as artificial intelligence (AI), the Internet of Things (IoT), and automation. AI brings cognitive capabilities to machines, allowing for decision- making processes that mirror human reasoning, while IoT fosters connectivity across devices, systems, and platforms, creating an interconnected industrial network. Automation further accelerates processes by minimizing human intervention, improving efficiency, and reducing errors. The chapter concludes with insights into future directions for smart industries, exploring potential advancements and challenges. It underscores the need for continuous innovation and the development of new business models to harness the full potential of these technologies, ultimately paving the way for more intelligent, efficient, and sustainable industrial practices. Through this comprehensive exploration, the chapter provides a valuable resource for understanding the strategic importance of technology in shaping the industries of tomorrow.
Abstract
This presents a thorough examination of the evolving landscape of modern industries, underscoring the significant transformation from conventional practices to advanced, smart systems. It begins by tracing the historical evolution of industries, mapping the journey from manual, labor-intensive methods to the advent of mechanized and automated processes that characterize contemporary production. This context helps readers appreciate the gradual but profound shift towards smart industry paradigms, where traditional methodologies are seamlessly integrated with cuttingedge technologies. In particular, the chapter defines the core attributes of smart industries, emphasizing adaptability, resilience, and efficiency as essential qualities in today’s competitive global market. Smart industries are positioned as not just technologically advanced but also deeply interconnected ecosystems that leverage real-time data, advanced analytics, and predictive models to enhance productivity and respond proactively to market demands. Central to this transformation is the integration of key enabling technologies such as artificial intelligence (AI), the Internet of Things (IoT), and automation. AI brings cognitive capabilities to machines, allowing for decision- making processes that mirror human reasoning, while IoT fosters connectivity across devices, systems, and platforms, creating an interconnected industrial network. Automation further accelerates processes by minimizing human intervention, improving efficiency, and reducing errors. The chapter concludes with insights into future directions for smart industries, exploring potential advancements and challenges. It underscores the need for continuous innovation and the development of new business models to harness the full potential of these technologies, ultimately paving the way for more intelligent, efficient, and sustainable industrial practices. Through this comprehensive exploration, the chapter provides a valuable resource for understanding the strategic importance of technology in shaping the industries of tomorrow.
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- List of contributing authors IX
- 1 Industry 4.0 today, Industry 5.0 tomorrow 1
- 2 Industry 4.0 – The automation revolution 11
- 3 Industry 5.0 – The new beginning of interaction of humans and machines 27
- 4 State-of-the-art review of Industry 4.O 45
- 5 Opinion mining using deep learning for E-commerce industries 69
- 6 Industry 5.0 and Fin-Tech Technology: Unravelling National & International outlook towards Fin-Tech laws in cyberspace 89
- 7 Industry 5.0 and Society 5.0 – An intertwined human-centric approach 105
- 8 Cobots for human surgery 113
- 9 Intelligent solutions for future smart industries 129
- 10 Virtual reality and augmented reality for medical research and training 153
- 11 Enhancing Industry 5.0 with process mining: Driving human-centric innovation and operational excellence 177
- 12 Smart healthcare analytics 195
- 13 Smart city data visualization and communication 215
- 14 A review of deep learning approaches in waste detection and classification 239
- About editors 261
- Index 265
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- List of contributing authors IX
- 1 Industry 4.0 today, Industry 5.0 tomorrow 1
- 2 Industry 4.0 – The automation revolution 11
- 3 Industry 5.0 – The new beginning of interaction of humans and machines 27
- 4 State-of-the-art review of Industry 4.O 45
- 5 Opinion mining using deep learning for E-commerce industries 69
- 6 Industry 5.0 and Fin-Tech Technology: Unravelling National & International outlook towards Fin-Tech laws in cyberspace 89
- 7 Industry 5.0 and Society 5.0 – An intertwined human-centric approach 105
- 8 Cobots for human surgery 113
- 9 Intelligent solutions for future smart industries 129
- 10 Virtual reality and augmented reality for medical research and training 153
- 11 Enhancing Industry 5.0 with process mining: Driving human-centric innovation and operational excellence 177
- 12 Smart healthcare analytics 195
- 13 Smart city data visualization and communication 215
- 14 A review of deep learning approaches in waste detection and classification 239
- About editors 261
- Index 265
