Vision-based welding quality detection of steel bridge components in complex construction environments
Abstract Currently, welding quality detection remains dependent on manual operation, while the increase in the span and intricacy of steel bridges has rendered the conventional method of detection insufficient to fulfill the engineering requirements. This paper presents a systematic study of welding...
Saved in:
Main Authors: | Tianshi Hu, Xiuping Huang, Zuolei Yang, Zhixiong Liu, Jie Zhao, Zhao Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer Nature
2025-01-01
|
Series: | Urban Lifeline |
Subjects: | |
Online Access: | https://doi.org/10.1007/s44285-025-00038-3 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Object detection and multimodal learning for product recommendations
by: Karolina Selwon, et al.
Published: (2025-01-01) -
Detection of non‐suicidal self‐injury based on spatiotemporal features of indoor activities
by: Guanci Yang, et al.
Published: (2023-03-01) -
Vision-Based Pick and Place Control System for Industrial Robots Using an Eye-in-Hand Camera
by: van-Truong Nguyen, et al.
Published: (2025-01-01) -
Steel surface defect detection and segmentation using deep neural networks
by: Sara Ashrafi, et al.
Published: (2025-03-01) -
Comparative Analysis of Edge Detection Operators Using a Threshold Estimation Approach on Medical Noisy Images with Different Complexities
by: Vladimir Maksimovic, et al.
Published: (2024-12-01)