Embedded machine vision sensor with portable imaging device and high durability

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction Pub Date : 2025-03-24 DOI:10.1016/j.autcon.2025.106143

Pengfei Wu , Han Yuan , Bingchuan Bai , Bo Lu , Weijie Li , Xuefeng Zhao

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引用次数: 0

Abstract

Machine vision sensors face challenges in automating the monitoring of internal structural damage and deformation, with limited lifespan and resolution accuracy. This paper develops a high-durable machine vision strain sensor, MISS-Silica. The sensor's durability is enhanced through materials, processes, and algorithms, ensuring its lifespan aligns with that of the structure. It combines an endoscope with a smartphone, eliminating the need for fixed camera positioning, and enables embedded strain measurement. With sub-pixel accuracy, the sensor reduces reliance on camera resolution and has a measurement range of 0.05

ε

, covering all stages from loading to failure. The results demonstrate that MISS-Silica provides a reliable, accurate, and durable solution for long-term structural health monitoring. Future research will explore its application in diverse environments, refine miniaturization, and improve real-time, large-scale monitoring capabilities.

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来源期刊

Automation in Construction 工程技术-工程：土木

CiteScore

19.20

自引率

16.50%

发文量

563

审稿时长

8.5 months

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.