Research on Weld Tracking Based on Machine Vision

Haoru Pan

2024

Abstract

The era of Industry 4.0 has promoted the development of a large number of industrial industries, and it advocates and emphasizes the overall trend of most industries in terms of intelligence. Welding has become an indispensable part of industrial manufacturing, and improving the efficiency and accuracy of welding can significantly improve product quality, and machine welding is currently the mainstream new welding method. Through the research and development of a weld tracking system based on machine vision, the autonomy and intelligence of welding robots can be improved, and the problems existing in traditional welding methods can be solved. At present, there are still many problems in this field of welding robots, and how to solve these problems to improve the performance of welding robots is the main research direction at present. This paper mainly studies the application of machine vision in the field of weld tracking and verifies its feasibility and necessity.

Paper Citation

in Harvard Style

Pan H. (2024). Research on Weld Tracking Based on Machine Vision. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 206-210. DOI: 10.5220/0012867000004547

in Bibtex Style

@conference{icdse24,
author={Haoru Pan},
title={Research on Weld Tracking Based on Machine Vision},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={206-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012867000004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Research on Weld Tracking Based on Machine Vision
SN - 978-989-758-690-3
AU - Pan H.
PY - 2024
SP - 206
EP - 210
DO - 10.5220/0012867000004547
PB - SciTePress