Metalurgija, Vol. 62 No. 2, 2023.
Izvorni znanstveni članak
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
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
Datum izdavanja:
3.4.2023.
Posjeta: 928 *