Industry-Fit AI Usage for Crack Detection in Ground Steel

We investigated optimal implementation strategies for industrial inspection systems aiming to detect cracks on ground steel billets’ surfaces by combining state-of-the-art AI-based methods and classical computational imaging techniques. In 2D texture images, the interesting patterns of surface irreg...

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Veröffentlicht in:	Electronics (Basel) 2022-09, Vol.11 (17), p.2643
Hauptverfasser:	Soukup, Daniel, Kapeller, Christian, Raml, Bernhard, Ruisz, Johannes
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Automation Cameras Clutter Cracks Flaw detection Image acquisition Image processing Imaging techniques Inspection Light Neural networks Photometry Quality control Steel alloys Steel production Surface layers Technology application Three dimensional models Vision systems
Online-Zugang:	Volltext
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