Presentation
13 March 2024 VIVALDI: steel billet tracking with advanced computer vision
Author Affiliations +
Proceedings Volume PC12903, AI and Optical Data Sciences V; PC1290308 (2024) https://doi.org/10.1117/12.3001270
Event: SPIE OPTO, 2024, San Francisco, California, United States
Abstract
Our advanced computer vision system allows for the precise tracking of serial numbers on steel billets in challenging industrial settings. It combines cutting-edge hardware and machine learning, excelling in character recognition (99.8%) and localization while adapting to dynamic ambient lighting conditions (104 ). Moreover, it accurately measures crucial geometric parameters such as side sizes, bulging, and skewness. This multifaceted technology promises to elevate material tracking, quality assessment, and production optimization in the steel industry to unprecedented levels.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sébastien Blanc, Pedram Pad, Engin Turetken, Nicolas Cantale, David Honzátko, Andrea L. Dunbar, Stephan Feldhaus, Gian Hauenstein, Marcel Meier, Tomaso Mendler, Giovanni Michelon, Clément Kündig, and Thomas Meier "VIVALDI: steel billet tracking with advanced computer vision", Proc. SPIE PC12903, AI and Optical Data Sciences V, PC1290308 (13 March 2024); https://doi.org/10.1117/12.3001270
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KEYWORDS
Optical character recognition

Cameras

Image classification

Fiber optic illuminators

Light sources and illumination

Deep learning

Imaging systems

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