SPECIAL SESSION #08
Applications of Machine Learning and Computer Vision in Industry 4.0
ORGANIZED BY
Marco Tarabini
Marco Tarabini
Polytechnic University of Milan, Italy
Nicola Giulietti
Nicola Giulietti
University of Pavia, Italy
SPECIAL SESSION DESCRIPTION
This special session aims to explore the use of Artificial Intelligence techniques—particularly machine learning and computer vision—for monitoring, analysis, and optimization of industrial processes in the context of Industry 4.0. AI-based vision systems now enable automatic quality inspection, defect detection, and process supervision with a precision and adaptability that exceed traditional rule-based approaches. At the same time, intelligent data-driven models allow continuous assessment of machinery condition, supporting predictive maintenance, fault diagnosis, and performance optimization. The session invites contributions addressing topics such as deep learning for visual inspection and anomaly detection, multimodal sensor fusion, real-time vision-based control, AI for predictive maintenance and process health monitoring, explainable AI for industrial decision-making, and data management strategies for AI-enabled manufacturing.
ABOUT THE ORGANIZERS
Marco Tarabini is Full Professor of Mechanical and Thermal Measurements at Politecnico di Milano, where he coordinates the VisionBricks Laboratory, the Human Vibration Laboratory and the Human Performance Laboratory. His research focuses on measurement systems for industrial applications, human response to vibration, and sensing technologies for monitoring and automation. He has led different national and international research projects, is co-inventor of 8 patents, and serves as convenor of ISO/TC 108/SC 4/WG 13 on whole-body vibration. He also coordinates the Joint Research Center on Metal and Transformation Technologies and serves as Vice-Coordinator of the Mechanical Engineering Study Programme at Politecnico di Milano.
Nicola Giulietti is a researcher in Mechanical and Thermal Measurements at University of Pavia (Italy), whose work spans the development of novel measurement systems—especially leveraging computer vision, virtual sensors and data-driven models—for mechanical and thermal processes. He holds a PhD in Industrial Engineering from Università Politecnica delle Marche and has contributed to several EU-funded projects focused on industrial measurements and machine vision.
