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The latest research of CNN in infrared industrial defect detection

delete2025-12-18
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PRE
AI
H
Hongyan Wang
Y
Yangjing Zhao
Z
Z. X. Sun
S
Shunchang Hu
Z
Zheheng Jing
李晓科 cover
李晓科 (Xiaoke Li)
Z
Z.H. Wang *
W
Wuyi Ming *
DOI:10.1016/j.infrared.2025.106333delete
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Abstract

Abstract

En 中文
• The application of infrared imaging technology in industrial is popular. • Active infrared imaging and passive infrared imaging are biased in different areas. • The combination of IRT and CNN provides a new method of detection. • Compared with CNN, the improved CNN improves the accuracy of detection.

Journal

I
Infrared Physics and Technology
IF:
3.4
Papers:
5.8K
Citations:
1.2W

Organization

X
xinyu coal mine of dengfeng power group co., ltd
Scholars:
1
Papers: 1
Citations: 0
W
wuhan university of science and technology
Scholars:
3.9K
Papers: 1.3K
Citations: 0
Z
Zhengzhou University of Light Industry
Scholars:
6.4K
Papers: 4.0K
Citations: 5.4K
H
Huanghe University of Science and Technology
Scholars:
30
Papers: 26
Citations: 1
Cited Papers

Cited Papers

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