دورية أكاديمية
Research on surface defect detection method of metallurgical saw blade based on YOLOV5
| العنوان: | Research on surface defect detection method of metallurgical saw blade based on YOLOV5 |
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| المؤلفون: | L. L. Meng, L. Zheng, X. Cui, R. Liu |
| المصدر: | Metalurgija, Vol 63, Iss 1, Pp 121-124 (2024) |
| بيانات النشر: | Croatian Metallurgical Society, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Mining engineering. Metallurgy |
| مصطلحات موضوعية: | metallurgical saw blade, surface defects, target detection, YOLOv5, Mining engineering. Metallurgy, TN1-997 |
| الوصف: | As a typical cutting tool with good performance and high processing efficiency, metallurgical saw blades are widely used in various industries, but surface defects are inevitably generated in the manufacturing process. To solve this problem, this paper proposes a YOLOv5-based surface defect detection model for product quality, which can distinguish three common metallurgical sawblade surface defects with mAP value of 96,1 % in each defect category detection of metallurgical sawblades and detection time of 139,8 ms per image. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 0543-5846 1334-2576 |
| Relation: | https://hrcak.srce.hr/file/443789; https://doaj.org/toc/0543-5846; https://doaj.org/toc/1334-2576 |
| URL الوصول: | https://doaj.org/article/589c6490431a45afa4438895f78f7ac4 |
| رقم الأكسشن: | edsdoj.589c6490431a45afa4438895f78f7ac4 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 05435846 13342576 |
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