Weld seam detection using computer vision for robotic arc welding

Mitchell Dinham, Gu Fang

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    32 Citations (Scopus)

    Abstract

    ![CDATA[Visual identification of narrow welding seams is difficult to achieve in robotic systems especially for ferrous materials. This paper describes an algorithm for detecting the weld seam in a butt-joint configuration for robotic Arc Welding of mild steel materials using computer vision. The proposed method can automatically subtract the background from the images obtained from a robot mounted camera system. Reliable seam identification can then be achieved for welding of ferrous materials. Experimental results have shown that this method is capable of detecting both straight and curved welding seams without prior knowledge of the location of the seam. It is shown that this method is robust to be used in an industrial setting.]]
    Original languageEnglish
    Title of host publicationProceedings 8th IEEE International Conference on Automation Science and Engineering: CASE 2012: 20-24 August 2012, Seoul, Korea: Green Automation Toward A Sustainable Society
    PublisherIEEE
    Pages771-776
    Number of pages6
    ISBN (Print)9781467304290
    DOIs
    Publication statusPublished - 2012
    EventIEEE Conference on Automation Science and Engineering -
    Duration: 20 Aug 2012 → …

    Conference

    ConferenceIEEE Conference on Automation Science and Engineering
    Period20/08/12 → …

    Keywords

    • algorithms
    • computer vision
    • electric welding
    • robotics
    • robots
    • weld seam detection
    • welding

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