Copper Electrolytic Short Sircuit Identification Intelligent Infrared Inspection System based on Opencv

The short circuit of the plate in the production process of copper electrolysis will bring a series of problems such as current loss and the decrease of copper production, and the manual inspection method is used to locate and deal with the plate fault. In response to the urgent need to obtain the fault location of the plate in a timely and accurate manner, the intelligent inspection trolley is used to obtain infrared images, and the OpenCV image processing algorithm is used to process and extract the feature values of the pictures and compare them with the fault characteristic values, so as to improve the accuracy of inspection and the timeliness of fault location, effectively reduce the loss of copper resources, improve the efficiency of copper electrolysis, and help copper factories transform into smart factories.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/iciba62489.2024.10868590
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Copper Electrolytic Short Sircuit Identification Intelligent Infrared Inspection System based on Opencv

Jingjing Zeng, Jianjun Sun, Pengfei Cao
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Industrial Vision Systems and Defect Detection
article

Copper Electrolytic Short Sircuit Identification Intelligent Infrared Inspection System based on Opencv

Jingjing Zeng, Jianjun Sun, Pengfei Cao
article en

Abstract

The short circuit of the plate in the production process of copper electrolysis will bring a series of problems such as current loss and the decrease of copper production, and the manual inspection method is used to locate and deal with the plate fault. In response to the urgent need to obtain the fault location of the plate in a timely and accurate manner, the intelligent inspection trolley is used to obtain infrared images, and the OpenCV image processing algorithm is used to process and extract the feature values of the pictures and compare them with the fault characteristic values, so as to improve the accuracy of inspection and the timeliness of fault location, effectively reduce the loss of copper resources, improve the efficiency of copper electrolysis, and help copper factories transform into smart factories.

Guangzhou Metro Group (China) (CN)
Openalex Percentile: Top 60%
Industrial Vision Systems and Defect Detection
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Copper Electrolytic Short Sircuit Identification Intelligent Infrared Inspection System based on Opencv — Jingjing Zeng, Jianjun Sun, et al. · (2024) | TGRS Research Map | TGRS