Tech@Lunch: Low-cost vision for wound roll quality monitoring
During this Tech@Lunch, we will demonstrate how we use an inexpensive machine vision system to monitor the winding quality of rolls during the winding process. With µm accuracy, we measure the geometry of a wound roll, which offers new possibilities for quality control in web processing.
We will discuss how machine vision is a powerful and cost-effective alternative to traditional measurement techniques. In addition, we will discuss typical defects and geometric deviations in wound rolls and examine the impact these can have on machine components and process stability.
Finally, we show how the winding quality during winding and across the entire roll width can be analysed using a 3D spectral analysis of the rolling geometry.
What is Tech@Lunch?
Tech@Lunch webinars are short, 30-minute online webinars during lunch hour.
Each session features a specialist diving into a current industry topic to give you maximum inspiration in minimal time.
Registration
Register here for free.
About the speaker
Jos Bruggeman (°2000, Aalst, Belgium) received his Master’s degree in Electrical Engineering Technology in 2022 and his Master’s degree in Electromechanical Engineering in 2024, both from Ghent University. He is currently pursuing a PhD at the Department of Electromechanical, Systems and Metal Engineering at Ghent University.
His research focuses on vision-based techniques, PLC-driven machinery, and industrial automation, with a particular interest in the transformation of conventional machines towards Industry 4.0 applications.
His affinity for vision technology originated from an early interest in photography and camera systems during his teenage years. This passion has since evolved into a key pillar of his academic work, where he integrates imaging technologies with engineering methodologies to develop innovative solutions for modern industrial challenges.
