A vision-based seam tracking system for submerged arc welding

Zhiguo Yan*, De Xu, Yuan Li, Min Tan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Welding seam tracking is a key issue to welding automation. In this paper, a seam tracking system based on laser structured light is presented. The paper discusses the structure of this system, and also explains the system's working principle especially the image processing algorithm. The outside-welding experiments of steel pipe show that this system is very robust to various welding noises and it can improve the welding efficiency greatly.

Original languageEnglish
Title of host publicationRobotic Welding, Intelligence and Automation
EditorsTzyh-Jong Tarn, Shan-Ben Chen, Changjiu Zhou
Pages349-357
Number of pages9
DOIs
Publication statusPublished - 2007
Externally publishedYes

Publication series

NameLecture Notes in Control and Information Sciences
Volume362
ISSN (Print)0170-8643

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