Copper Nodule Defect Detection in Industrial Processes Using Deep Learning

Copper Nodule Defect Detection in Industrial Processes Using Deep Learning

Copper electrolysis is a crucial process in copper smelting. The surface of cathodic copper plates is often affected by various electrolytic process factors, resulting in the formation of nodule defects that significantly impact surface quality and disrupt the downstream production process, making t...

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Bibliographic Details
Main Authors: Zhicong Zhang, Xiaodong Huang, Dandan Wei, Qiqi Chang, Jinping Liu, Qingxiu Jing
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Information
Subjects:
electrolytic cathodic copper plate
YOLOv5
attention mechanism
deep learning
mobilenetv3
object detection
Online Access:https://www.mdpi.com/2078-2489/15/12/802
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