“…Furthermore, each sample's images were captured at a sufficiently close distance but exact measurement of camera distance was not observed. This is because the impact of the measurement error due to close-distance variations is statistically insignificant [ 9 , 10 ]. Fig.…”
Section: Experimental Design Materials and Methodsmentioning
“…Furthermore, each sample's images were captured at a sufficiently close distance but exact measurement of camera distance was not observed. This is because the impact of the measurement error due to close-distance variations is statistically insignificant [ 9 , 10 ]. Fig.…”
Section: Experimental Design Materials and Methodsmentioning
“…Algorithm 1 presents the pseudocode of tracking the markers using Open CV (Open-Source Computer Vision) libraries. This algorithm is similar to the works of Piedad and Villeta (2016) with a few modifications in the camera settings -distance of the camera to the beam loading, and the identifier's values and initializations. The computer vision application use C++ programming language in Visual Studio 2013 developer environment with Open CV.…”
“…where y is the vertical distance from the marker to the lens, and x is the horizontal distance. The researchers conducted the calibration under a three lens-to-object (LTO) distances of 500, 750, and 1000 millimeters (Piedad & Villeta, 2016). Figures 3 and 4 show the photographs taken during calibration.…”
Section: Calibrating the Computer Vision Application Using Optical Principlesmentioning
A novel computer vision application is developed to measure the deflection of two-dimensional (2D) reinforced concrete structural members. Eight beam samples, with dimensions of 160 mm x 150 mm x 1400 mm are loaded and simulated under a four-point loading test until failure using a reaction framework machine. A camera is fixed at the center front view of the concrete beams to capture the deflection of the samples while testing. In each test, a dial indicator is installed and the maximum deflection is manually recorded. Based on the results, the maximum deflection values recorded by the proposed application obtained an average error of 18.38 % when compared to the manual measured results. This indicates that computer vision-based application can provide a beam-wide scale deflection performance, compared to the traditional point-based deflection reading. This study paves a new possibility of aiding manual measurements of concrete beams and all other structural studies.
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