This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment.

This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation.

The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin.

AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection.

The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport.

This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes.

Sukhvinder Singh Purewal, PhD, is presently working as an assistant professor, University Centre for Research & Development (UCRD), Chandigarh University, Mohali, Punjab, India. In 2018, he was awarded a Major Research Project spanning from 2018 to2022 from the SEED Division, Department of Science and Technology (DST), New Delhi. His research interests encompass: solid-state fermentation, extraction of bioactive compounds from natural sources, antioxidants, and the processing of fruits. Having authored more than 45 research papers in internationally recognized journals, Dr. Sukhvinder Singh Purewal has been honored with the best poster awards at both national and international conferences. He is an active life member of the Association of Microbiologists of India (AMI), the Mycological Society of India (MSI), the Association of Food Scientists and Technologists (AFSTI) in Mysore, India, and the Indian Science Congress Association (ISCA). In 2023, Dr. Purewal was honored with the prestigious “Young Scientist Award” by the renowned AMI in recognition of his outstanding contributions to the field of food microbiology. Furthermore, Dr. Sukhvinder Singh Purewal has demonstrated his expertise by publishing an authored book, Millets: Properties, Processing, and Health Benefits, along with three edited books such as, Maize Nutritional Composition, Processing, and Industrial Uses, Chickpea and Cowpea: Nutritional Profile, Processing, Health Prospects, and Commercial Uses and Nanotechnology in the Food Industry: Applications, Recent Trends, and Future Perspectives with CRC Press, Taylor & Francis Group.

Prof. Ram Sarup Singh is actively working in the area of Industrial Biotechnology particularly industrial enzymes, biopolymers, glycoproteins, biofuels, etc. from fungal sources. To his credit, he has more than 300 publications, including 200 research papers, 05 books, 45 book chapters, 50 popular articles, etc. He has published series of research papers in very reputed journals having very high impact factor. He has also been granted 02 Indian patents. He has h-index 51, i10 index 165 and more than 10,000 citations. He has many national and international awards to his credit. Prof. Singh is Fellow of Biotech Research society of India, Association of Microbiologists of India and Mycological Society of India. He was guest editor of Biologia, Indian Journal of Experimental biology and Journal of Scientific and Industrial Research in 2012. He was visiting Professor, Swiss Federal Research Institute of Technology, Lausanne, Switzerland and University of Clermont, Clermont Ferrand, France. He is providing consultancy to various regional food/fermentation industries.