Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)

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Comprehensive Analysis of Intelligent Welding Technology Based on Machine Vision

Authors
Zhuangzhuang Liu1, *
1College of Engineering, Ocean University of China, Qingdao, 266100, China
*Corresponding author. Email: 24090041028@stu.ouc.edu.cn
Corresponding Author
Zhuangzhuang Liu
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-648-7_23How to use a DOI?
Keywords
Intelligent welding; Machine vision; Weld defect detection; Deep learning in welding
Abstract

With the increasing demands for welding efficiency and accuracy, intelligent welding technology has developed rapidly, and machine vision plays a significant role in it. In terms of image preprocessing, a system of grayscale processing, filtering and denoising, and image enhancement is formed to reduce image noise and enhance the operability of the picture. In the field of weld seam recognition, research focuses on image processing methods and deep learning networks, with the aim of enhancing accuracy and efficiency through innovation and improvement. The research on weld seam tracking is mainly based on the optimization of anti-noise and adaptation to specific scenarios. In the field of weld defect detection, based on deep learning networks, a process of model update and transformation is underway. In the future, research on intelligent welding technology based on machine vision will focus on improving algorithm efficiency and making corresponding adjustments in different environments. This article aims to distill and analyze the achievements of recent years, and predict the development trend and cutting-edge direction of this technology.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
Series
Advances in Computer Science Research
Publication Date
24 April 2026
ISBN
978-94-6239-648-7
ISSN
2352-538X
DOI
10.2991/978-94-6239-648-7_23How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zhuangzhuang Liu
PY  - 2026
DA  - 2026/04/24
TI  - Comprehensive Analysis of Intelligent Welding Technology Based on Machine Vision
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 206
EP  - 214
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_23
DO  - 10.2991/978-94-6239-648-7_23
ID  - Liu2026
ER  -