Completely Contactless Structural Health Monitoring Of Real-Life Structures Using Cameras And Computer Vision
Keywords
camera; computer vision; displacement; key-point; monitoring; targets
Abstract
A newly developed, completely contactless structural health monitoring system framework based on the use of regular cameras and computer vision techniques is introduced for obtaining displacements and vibrations of structures, which are critical responses for performance-based design and evaluation of structures. To provide contactless and practical monitoring, the current vision-based displacement measurement methods are improved by eliminating the physical target attachment. This is achieved by means of utilizing imaging key-points as virtual targets. As a result, pixel-based displacements of a monitored structural location are determined by using an improved detection and match key-points algorithm, in which false matches are identified and discarded almost completely. To transform pixel-based displacements to engineering units, a practical camera calibration method is developed because calibration standard on a physical target no longer exists. Moreover, a framework for evaluating the accuracy of vision-based displacement measurements is established for the first time, which, in return, provides users with the most crucial information of a measurement. The proposed framework along with a conventional sensor network and a data acquisition system are applied and verified on a real-life stadium during football games for structural assessment. The results obtained by the new method are successfully validated with the data acquired from sensors such as linear variable differential transformers and accelerometers. Because the proposed method does not require any type of sensor and target attachment, common field works such as sensor installation, wiring, maintaining conventional data acquisition systems are not required. This advantage enables an inexpensive and practical way for structural assessment, especially for real-life structures. Copyright © 2016 John Wiley & Sons, Ltd.
Publication Date
1-1-2017
Publication Title
Structural Control and Health Monitoring
Volume
24
Issue
1
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1002/stc.1852
Copyright Status
Unknown
Socpus ID
84969160256 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84969160256
STARS Citation
Khuc, Tung and Catbas, F. Necati, "Completely Contactless Structural Health Monitoring Of Real-Life Structures Using Cameras And Computer Vision" (2017). Scopus Export 2015-2019. 5065.
https://stars.library.ucf.edu/scopus2015/5065