Special Issue "Automated Product Inspection for Smart Manufacturing"
In recent years, the manufacturing industry has experienced major changes as a result of growing trends towards automation, integration, and data exchange. The fourth industrial revolution (Industry 4.0 as it is called) refers to all those methods that enable improvements in product design and manufacturing with the main objective of capturing, optimising, and deploying essential data within many different technological fields. Artificial intelligence, data analysis, systems integration, cloud computing, cybersecurity, augmented reality, and numerical models are just some of the technologies which are increasingly finding place within technological industries.
This is fundamental for companies that want to survive in an increasingly competitive and globalised environment to guarantee customer satisfaction and reduce production costs. Automated and, in particular, in-line product inspection, play a fundamental role in this scenario: the more real-time data and what-if scenarios models can be integrated in the production system, the more the core parameters of the production process can be investigated and controlled.
In this context, the objective of this Special Issue is to bring together contributions in the field of product inspection with specific focus on methods and application related to the assessment of shape and visual features of the inspected products. We particularly welcome original research papers as well as new datasets, benchmarks, comparative evaluations, and reviews on the following topics:
- Defect detection
- Digital twins
- Dimensional measurement
- Machine vision
- Object and materials recognition
- Shape reconstruction and analysis
- Soft metrology of visual appearance
- Surface inspection and grading
Prof. Dr. Francesco Bianconi
Dr. Pascoletti Giulia