Research Experiences for Undergraduates (REU), NHERI 2023: Experimental Study on Parameters Affecting Computer Vision-Based Structural Displacement and Deformation Monitoring

Yuanlong Dai; Alia Amer; James Ricles; Claudia Marin; Michael Whiteman

doi:10.17603/ds2-g7qk-vn39

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PRJ-4152 | Research Experiences for Undergraduates (REU), NHERI 2023: Experimental Study on Parameters Affecting Computer Vision-Based Structural Displacement and Deformation Monitoring

Cite This Data:

Dai, Y., A. Amer, J. Ricles, C. Marin, M. Whiteman (2023). Research Experiences for Undergraduates (REU), NHERI 2023: Experimental Study on Parameters Affecting Computer Vision-Based Structural Displacement and Deformation Monitoring. DesignSafe-CI. https://doi.org/10.17603/ds2-g7qk-vn39

Authors	; ; ; ;
Data Type(s)	Research Experience for Undergraduates
Natural Hazard Type(s)	Other
Date of Publication	2023-09-16
Facilities
Awards	NSF, Natural Hazards Engineering Research Infrastructure, Network Coordination Office \| 2129782
Keywords	NHERI;RTMD;Lucas-Kanade-Pyramid;Computer Vision;Optical Flow;Smart Lab;Structural Monitoring;Non-Contact Sensors;Open CV;Measurement Feedback
DOI	10.17603/ds2-g7qk-vn39
License	Creative Commons Attribution
Version	2

Description:

This paper presents an experimental study on the effectiveness of non-contact type vision sensors (i.e., video cameras) to track displacement and deformation in structural testing. This project uses vision-based systems that consist of off-the-shelf commercial video cameras and a video-tracking post-processing program developed by a team at Howard University. This project provides recommendations for the use of vision-based systems in structural testing.