Portable Multimodal Vision-Based Device for Non-Destructive Evaluation of Rebar Welds

The quality of rebar welds directly impacts the overall service performance of highway infrastructure. However, current assessments of weld appearance quality primarily rely on traditional inspection methods such as manual visual inspection, which suffer from significant limitations in accuracy, reliability, and efficiency. Given the increasing demand for safety performance inspections of highway infrastructure in China, traditional methods struggle to meet modern rapid inspection requirements. Therefore, this study proposes the design of a portable, non-destructive inspection device for rebar weld appearance, utilizing visible light vision and line-structured light 3D scanning technology. The device is equipped with an STM32 master control chip to manage encoder reading, scanning laser control, ring fill light, industrial camera synchronization, image acquisition, and serial port command transmission. Additionally, a weld image processing and detection software system was developed to receive, store, and identify weld defects. A field inspection prototype was created and subjected to various defect weld detection experiments in a laboratory setting. Experimental results demonstrate that the device can accurately measure weld parameters by acquiring multimodal images, fulfilling defect detection requirements. The device features high detection accuracy, portability, and user-friendliness, making it significant for the objective inspection and evaluation of rebar weld appearance and welding quality.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-09-12
DOI
https://doi.org/10.1051/wujns/2025304343/pdf
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Portable Multimodal Vision-Based Device for Non-Destructive Evaluation of Rebar Welds

Springer Link (Chiba Institute of Technology)
Infrastructure Maintenance and Monitoring
article

Portable Multimodal Vision-Based Device for Non-Destructive Evaluation of Rebar Welds

article en

Abstract

The quality of rebar welds directly impacts the overall service performance of highway infrastructure. However, current assessments of weld appearance quality primarily rely on traditional inspection methods such as manual visual inspection, which suffer from significant limitations in accuracy, reliability, and efficiency. Given the increasing demand for safety performance inspections of highway infrastructure in China, traditional methods struggle to meet modern rapid inspection requirements. Therefore, this study proposes the design of a portable, non-destructive inspection device for rebar weld appearance, utilizing visible light vision and line-structured light 3D scanning technology. The device is equipped with an STM32 master control chip to manage encoder reading, scanning laser control, ring fill light, industrial camera synchronization, image acquisition, and serial port command transmission. Additionally, a weld image processing and detection software system was developed to receive, store, and identify weld defects. A field inspection prototype was created and subjected to various defect weld detection experiments in a laboratory setting. Experimental results demonstrate that the device can accurately measure weld parameters by acquiring multimodal images, fulfilling defect detection requirements. The device features high detection accuracy, portability, and user-friendliness, making it significant for the objective inspection and evaluation of rebar weld appearance and welding quality.

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 32%
Infrastructure Maintenance and Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Portable Multimodal Vision-Based Device for Non-Destructive Evaluation of Rebar Welds · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS