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A classification and location of surface defects method in hot rolled steel strips based on YOLOV7

Y. X. Sun ; School of Computer Science and Software Engineering, University of Science and Technology Liaoning, China
Y. J. Zhang ; School of Computer Science and Software Engineering, University of Science and Technology Liaoning, China
Z. H. Wei ; School of Computer Science and Software Engineering, University of Science and Technology Liaoning, China
J. T. Zhou ; School of Computer Science and Software Engineering, University of Science and Technology Liaoning, China


Puni tekst: engleski pdf 288 Kb

str. 240-242

preuzimanja: 382

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Sažetak

Hot-rolled steel strip is widely used in production life and surface defects inevitably occur during its production process. In order to solve this problem, this paper proposes a method for classifying and locating surface defects in hot-rolled strip steel based on the YOLOV7 target detection model, which takes into account both accuracy and real-time performance. The method is capable of distinguishing seven common surface defects with an average accuracy of 84,3 % and a maximum accuracy of 99,6 % in a single category of defects.

Ključne riječi

steel, surface defect, detection, hot rolled strip, YOLOV7

Hrčak ID:

290071

URI

https://hrcak.srce.hr/290071

Datum izdavanja:

3.4.2023.

Posjeta: 919 *