| Vol. - No. | Vol.12 - No.4 |
|---|---|
| Date | Dec., 2023 |
| Title | Computer Vision-based Structural Health Monitoring: A Review |
| Author | Jun Su Park, Joohyun An, and Hyo Seon Park+ |
| Institutions | Department of Architecture and Architectural Engineering, Yonsei University, Seoul 03722, Republic of Korea |
| Abstract |
Structural health monitoring is a technology or research field that extends the service life of structures and contributes to the prevention of disaster accidents by continuously evaluating the safety, stability, and serviceability of structures as well as allowing timely and proper maintenance. However, the contact-type sensors used for it require considerable time, cost, and labor for installation and maintenance. As an alternative, computer vision has attracted attention recently. Computer vision has the potential to make quality, deformation, and damage monitoring for structures contactless and automated. In this study, research cases in which computer vision was utilized for structural health monitoring are introduced, and its effects and limitations are summarized. Therefore, the applicability and future research directions of computer vision-based structural health monitoring are discussed. |
| Keyword | Structural health monitoring, Computer vision |
| PP. | PP.322~333 |
| Paper File |
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