A method for detecting surface defects in hot-rolled strip steel based on deep learning
Hot-rolled strip steel is a material widely used in production activities and daily life. However, the appearance of surface defects during its production process is inevitable. To address this issue, we introduce a new detection method using Gold-Yolo to detect surface defects on hot-rolled strip s...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Metallurgical Society
2024-01-01
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| Series: | Metalurgija |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/456156 |
| _version_ | 1827292355185606656 |
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| author | H. Ren Y. J. Zhang J. T. Chen X. N. Wei H. K. Chen P. Liu |
| author_facet | H. Ren Y. J. Zhang J. T. Chen X. N. Wei H. K. Chen P. Liu |
| author_sort | H. Ren |
| collection | DOAJ |
| description | Hot-rolled strip steel is a material widely used in production activities and daily life. However, the appearance of surface defects during its production process is inevitable. To address this issue, we introduce a new detection method using Gold-Yolo to detect surface defects on hot-rolled strip steel. Our method effectively balances accuracy and real-time performance while detecting four common types of surface defects, achieving an average accuracy rate of 82,2 % for detecting individual types of surface defects. Experimental data prove that our method excels in classifying and locating surface defects on hot-rolled steel strip, demonstrating broad application prospects and promotional value. |
| first_indexed | 2024-04-24T13:03:14Z |
| format | Article |
| id | doaj.art-a69bb2fd36444983944c571066d2b1c6 |
| institution | Directory Open Access Journal |
| issn | 0543-5846 1334-2576 |
| language | English |
| last_indexed | 2024-04-24T13:03:14Z |
| publishDate | 2024-01-01 |
| publisher | Croatian Metallurgical Society |
| record_format | Article |
| series | Metalurgija |
| spelling | doaj.art-a69bb2fd36444983944c571066d2b1c62024-04-05T10:17:19ZengCroatian Metallurgical SocietyMetalurgija0543-58461334-25762024-01-01633-4423426A method for detecting surface defects in hot-rolled strip steel based on deep learningH. Ren0Y. J. Zhang1J. T. Chen2X. N. Wei3H. K. Chen4P. Liu5School of Computer Science and Software Engineering, University of Science and Technology Liaoning, ChinaSchool of Computer Science and Software Engineering, University of Science and Technology Liaoning, ChinaSchool of Computer Science and Software Engineering, University of Science and Technology Liaoning, ChinaSchool of Computer Science and Software Engineering, University of Science and Technology Liaoning, ChinaSchool of Computer Science and Software Engineering, University of Science and Technology Liaoning, ChinaSchool of Computer Science and Software Engineering, University of Science and Technology Liaoning, ChinaHot-rolled strip steel is a material widely used in production activities and daily life. However, the appearance of surface defects during its production process is inevitable. To address this issue, we introduce a new detection method using Gold-Yolo to detect surface defects on hot-rolled strip steel. Our method effectively balances accuracy and real-time performance while detecting four common types of surface defects, achieving an average accuracy rate of 82,2 % for detecting individual types of surface defects. Experimental data prove that our method excels in classifying and locating surface defects on hot-rolled steel strip, demonstrating broad application prospects and promotional value.https://hrcak.srce.hr/file/456156steel striphot-rolledsurface defectobject detectionGold-Yolo |
| spellingShingle | H. Ren Y. J. Zhang J. T. Chen X. N. Wei H. K. Chen P. Liu A method for detecting surface defects in hot-rolled strip steel based on deep learning Metalurgija steel strip hot-rolled surface defect object detection Gold-Yolo |
| title | A method for detecting surface defects in hot-rolled strip steel based on deep learning |
| title_full | A method for detecting surface defects in hot-rolled strip steel based on deep learning |
| title_fullStr | A method for detecting surface defects in hot-rolled strip steel based on deep learning |
| title_full_unstemmed | A method for detecting surface defects in hot-rolled strip steel based on deep learning |
| title_short | A method for detecting surface defects in hot-rolled strip steel based on deep learning |
| title_sort | method for detecting surface defects in hot rolled strip steel based on deep learning |
| topic | steel strip hot-rolled surface defect object detection Gold-Yolo |
| url | https://hrcak.srce.hr/file/456156 |
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