Deep Learning for Hot Rolled Steel Surface Rust Defects Detection

Wai Yang Chen, Kein Huat Chua, Mohammad Babrdel Bonab, Kuew Wai Chew, Stella Morris, Li Wang

研究成果: Conference contribution

摘要

Currently, the conventional approach for the hot rolled steel defect inspections and decisions are made manually based on the standard guideline. However, the quality of the assessments is not consistent due to human error. Therefore, it is essential to develop an automatic inspection system that can decide whether to hold or release the rusted hot rolled steel based on its severity. Artificial intelligence has recently become one of the most frequently cited topics in the development of product defects inspection systems. This project aims to develop a deep learning-based hot rolled steels rust detection system to assist decision-making. The detection processes can be divided into hot rolled steel detection, rust detection, and the decision-making process. Object detection and color detection techniques are adopted in the model for hot rolled steel detection and rust detection respectively. In this study, there are three types of deep learning object detection framework were tested which are Single Shot Detector (SSD) MobileNetv1, SSD MobileNetv2 and Faster RCNN. As Single Shot Detector (SSD) MobileNetv2 has the optimum performance in terms of accuracy and inference speed, it was chosen as the deep learning architecture for the object detection while Hue Saturation Value (HSV) color model is used for the color detection. The hold/release decision-making output is based on the percentage of the detected rusty area from the image. Based on the simulation results, the accuracy of the rust defect detection for hold and release are 96.05% and 97.92%, respectively.

原文English
主出版物標題2022 12th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2022
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1-6
頁數6
ISBN(電子)9781665487030
DOIs
出版狀態Published - 2022
事件12th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2022 - Virtual, Online, Malaysia
持續時間: 2022 5月 212022 5月 22

出版系列

名字2022 12th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2022

Conference

Conference12th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2022
國家/地區Malaysia
城市Virtual, Online
期間22-05-2122-05-22

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦網路與通信
  • 電腦科學應用
  • 電氣與電子工程
  • 工業與製造工程
  • 儀器
  • 電腦視覺和模式識別

指紋

深入研究「Deep Learning for Hot Rolled Steel Surface Rust Defects Detection」主題。共同形成了獨特的指紋。

引用此