Machine Learning Technique to Detect Defects on the Steel Surface

  • Florin Marin Bogdan „Dunărea de Jos” University of Galați
  • Carmela Gurău „Dunărea de Jos” University of Galați
  • Mihaela Marin „Dunărea de Jos” University of Galați
Keywords: machine learning, steel surface, computer vision

Abstract

In this paper is presented a technique concerning the machine learning
using computer vision data for the detection of defects on the steel surface. The
early detection of defects can reduce the product damage and manufacturing
cost. Moreover, it provides information that will provide data concerning
quality of products and correct classification and this means that the product
will not be rejected by the customer and avoid other costs. The non-contact
inspection of the surface defects using the computer vision has become very
popular in manufacturing industrial systems as it provides reliable and fast
results. The machine learning achieved impressive results in image
classification tasks, though it requires the previous learning phase to be
completed. The proposed machine learning technique allows fast identification
of defects and also permits learning during the process.

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Published
2023-01-26
How to Cite
1.
Bogdan F, Gurău C, Marin M. Machine Learning Technique to Detect Defects on the Steel Surface. Annals of ”Dunarea de Jos” University of Galati, Fascicle V, Technologies in machine building [Internet]. 26Jan.2023 [cited 29Mar.2024];37(1). Available from: https://www.gup.ugal.ro/ugaljournals/index.php/tmb/article/view/5849