Automatic welding track detection for welding process by machine vision

Gandjar Kiswanto, A. Rianto

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

Abstract

The use of machine vision technology in the welding process has been developed along with the need for more consistent and more qualified welding results. The application of machine vision to perform object analysis without direct contact to the object itself making the whole processes fast while maintaining the accuracy. In this study, some image processing algorithms are combined which include : image enhacement (grayscaling and median filtering), edge detection, binarization, and Hough Transform for line detection. The candidate of welding tracks are produced through this standard algorithm. However, afterward, some modifications to the Hough transforms are carried to enable finding the actual welding tracks. The implemented method is capable of detecting the actual welding tracks and their appropriate welding path with accuracy not more than 0.9 mm.

Original languageEnglish
Title of host publicationMaterial Science and Engineering Technology
Pages886-890
Number of pages5
DOIs
Publication statusPublished - 1 Mar 2012
Event2011 International Conference on Material Science and Engineering Technology, ICMSET 2011 - Zhengzhou, China
Duration: 11 Nov 201113 Nov 2011

Publication series

NameAdvanced Materials Research
Volume462
ISSN (Print)1022-6680

Conference

Conference2011 International Conference on Material Science and Engineering Technology, ICMSET 2011
Country/TerritoryChina
CityZhengzhou
Period11/11/1113/11/11

Keywords

  • Automation
  • Image processing
  • Machine vision
  • Welding track detection

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