Alexis Toledo Bórquez , Felipe Muñoz La Rivera , Rodrigo F. Herrera , Javier Mora Serrano
{"title":"Augmented reality and ultrasonic sensor-based tool for rebar inspection on construction sites","authors":"Alexis Toledo Bórquez , Felipe Muñoz La Rivera , Rodrigo F. Herrera , Javier Mora Serrano","doi":"10.1016/j.autcon.2025.106288","DOIUrl":null,"url":null,"abstract":"<div><div>The traditional inspection of reinforcing steel bars (rebar) in construction often suffers from inaccuracies, inefficiencies, and challenges posed by environmental factors, leading to project delays and increased costs. This paper presents a method for improving rebar inspection by integrating Augmented Reality (AR), Internet of Things (IoT) technologies, and Building Information Modeling (BIM). The paper introduces an AR-based tool equipped with low-cost ultrasonic sensors, which automates the rebar counting process and provides real-time data visualization. The tool addresses key limitations in traditional inspection workflows by reducing human error and enhancing data reliability. Experimental results from conceptual on-site tests demonstrate significant improvements in inspection accuracy, workflow efficiency, and user engagement. This approach offers a cost-effective, scalable solution adaptable to various project sizes, contributing to the advancement of digital technologies in the construction industry and accelerating the adoption of Construction 4.0.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106288"},"PeriodicalIF":9.6000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation in Construction","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926580525003280","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The traditional inspection of reinforcing steel bars (rebar) in construction often suffers from inaccuracies, inefficiencies, and challenges posed by environmental factors, leading to project delays and increased costs. This paper presents a method for improving rebar inspection by integrating Augmented Reality (AR), Internet of Things (IoT) technologies, and Building Information Modeling (BIM). The paper introduces an AR-based tool equipped with low-cost ultrasonic sensors, which automates the rebar counting process and provides real-time data visualization. The tool addresses key limitations in traditional inspection workflows by reducing human error and enhancing data reliability. Experimental results from conceptual on-site tests demonstrate significant improvements in inspection accuracy, workflow efficiency, and user engagement. This approach offers a cost-effective, scalable solution adaptable to various project sizes, contributing to the advancement of digital technologies in the construction industry and accelerating the adoption of Construction 4.0.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.