Methods for determining surface defects of products made of metals and their alloys using machine vision methods
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Abstract
The review of the relevance of the problem of searching for surface defects of products made of metals and their alloys by machine vision methods is performed. The main groups of machine vision methods for searching for defects on the surface of metal products and their alloys are considered. The features of the search for defects on the surface of products made of metals and alloys in comparison with other surfaces are considered. The difficulties that can be encountered using deep learning methods when searching for defects on the surface of products made of metals and their alloys and ways to circumvent them are shown.
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