High-speed Vision System for Dynamic Structural Distributed Displacement Analysis

Computer Vision and Image Processing in Structural Health Monitoring: Overview of Recent Applications

“…In addition, 63% of the studies verified the accuracy of measurements through a validation procedure with other systems/sensors commonly used as gold standards in SHM applications. The main limitations of VSS, which emerged during the analysis, concern the following: (i) improving robustness and accuracy through optimization algorithms [54,63,71,73]; (ii) the lack of real-world scenarios (only 46% of the studies proposed in-field tests on real-world structures); (iii) the use of specific targets [67,81,82]; (iv) constraints on image and video sizes [60,64,76,77,83]; and (v) the effects of environmental and weather conditions that can affect performance (44% of the studies proposed only indoor and scaled-target experimental scenarios, with controlled lightning and environmental conditions). This last point is fundamental when using technologies and support aids such as UAVs and tripods.…”

“…In [39,47,63], only a comparison between algorithms was performed. In [40,45,52,[56][57][58]62,69,72,[77][78][79][80]85] a comparison with damage, deformation, and, in general, real-world manual measurements was performed. Finally, a proof of concept was provided in [84], with only qualitative results.…”

“…This choice applies to the following studies: [34,[40][41][42]44,45,[48][49][50][51][53][54][55][58][59][60][61][62][63][64]66,67,[69][70][71][72][73][74][75][76][77][78][80][81][82]. In a few cases, the experimental scenarios were outdoors where, on the other hand, it was necessary to consider, at least in part, the environmental conditions and the problems previously indicated, testing the solution on scale models in most cases as well.…”