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Authors: Luciane Baldassari Soares ; Atila Astor Weis ; Bruna de Vargas Guterres ; Ricardo Nagel Rodrigues and Silvia Silva da Costa Botelho

Affiliation: Federal University of Rio Grande - FURG, Brazil

Keyword(s): Computer Vision, Discontinuities, Welding.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: Welding processes are very important in different industries and requires precision and attention in the steps that will be performed. This article proposes the use of an autonomous weld bead geometric analysis system in order to verify the presence of geometric failures that may compromise the weld integrity. Using an vision system attached to a linear welding robot, images of pre-welded and post-welded metal plates are captured and compared and metrics are applied for evaluation. The proposed method uses Hidden Markov Model (HMM) to identify the weld bead edges and calculate several evaluation metrics to detect geometric failures such as misalignment, lack or excess of fusion, among others.

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Paper citation in several formats:
Soares, L.; Weis, A.; Guterres, B.; Rodrigues, R. and Botelho, S. (2018). Computer Vision System for Weld Bead Analysis. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP; ISBN 978-989-758-290-5; ISSN 2184-4321, SciTePress, pages 402-409. DOI: 10.5220/0006626004020409

@conference{visapp18,
author={Luciane Baldassari Soares. and Atila Astor Weis. and Bruna de Vargas Guterres. and Ricardo Nagel Rodrigues. and Silvia Silva da Costa Botelho.},
title={Computer Vision System for Weld Bead Analysis},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP},
year={2018},
pages={402-409},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006626004020409},
isbn={978-989-758-290-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP
TI - Computer Vision System for Weld Bead Analysis
SN - 978-989-758-290-5
IS - 2184-4321
AU - Soares, L.
AU - Weis, A.
AU - Guterres, B.
AU - Rodrigues, R.
AU - Botelho, S.
PY - 2018
SP - 402
EP - 409
DO - 10.5220/0006626004020409
PB - SciTePress

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