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Title

Detection of Surface Defects in Metallic Materials Using Convolutional Neural Networks with YOLO Architecture

Journal title

Archives of Foundry Engineering

Yearbook

2026

Volume

vol. 26

Issue

No 1

Authors

Bumbálek, R. ; Zoubek, T. ; Majerník, J. ; de Dieu Marcel Ufitikirezi, J. ; Umurungi, S.N. ; Šramhauser, K. ; Špalek, F.

Affiliation

Bumbálek, R. : University of South Bohemia in České Budějovice, Faculty of Agriculture and Technology, Czech Republic. ; Zoubek, T. : University of South Bohemia in České Budějovice, Faculty of Agriculture and Technology, Czech Republic. ; Majerník, J. : University of South Bohemia in České Budějovice, Faculty of Agriculture and Technology, Czech Republic. ; de Dieu Marcel Ufitikirezi, J. : University of South Bohemia in České Budějovice, Faculty of Agriculture and Technology, Czech Republic. ; Umurungi, S.N. : University of South Bohemia in České Budějovice, Faculty of Agriculture and Technology, Czech Republic. ; Šramhauser, K. : University of South Bohemia in České Budějovice, Faculty of Agriculture and Technology, Czech Republic. ; Špalek, F. : University of South Bohemia in České Budějovice, Faculty of Agriculture and Technology, Czech Republic.

Keywords

Computer vision ; Defect detection ; CNN ; Industry 4.0 ; NDT

Divisions of PAS

Nauki Techniczne

Coverage

165-176

Publisher

The Katowice Branch of the Polish Academy of Sciences

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Date

30.03.2026

Type

Article

Identifier

DOI: 10.24425/afe.2026.157983
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