Computer Vision System for Weld Bead Analysis

Luciane Baldassari Soares, Atila Astor Weis, Bruna de Vargas Guterres, Ricardo Nagel Rodrigues, Silvia Silva da Costa Botelho

2018

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.

Paper Citation

in Harvard Style

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, SciTePress, pages 402-409. DOI: 10.5220/0006626004020409

in Bibtex Style

@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},
}

in EndNote Style

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
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