An Automatic Defect Detection System for Petrochemical Pipeline Based on Cycle-GAN and YOLO v5

An Automatic Defect Detection System for Petrochemical Pipeline Based on Cycle-GAN and YOLO v5

Defect detection of petrochemical pipelines is an important task for industrial production safety. At present, pipeline defect detection mainly relies on closed circuit television method (CCTV) to take video of the pipeline inner wall and then detect the defective area manually, so the detection is...

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Bibliographic Details
Main Authors: Kun Chen, Hongtao Li, Chunshu Li, Xinyue Zhao, Shujie Wu, Yuxiao Duan, Jinshen Wang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
petrochemical pipeline
defect detection
Cycle-GAN
YOLO v5
attention mechanism
Online Access:https://www.mdpi.com/1424-8220/22/20/7907

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