Abstract
The availability of a suitable data acquisition sensor network is a key implementation issue to link the models with real world structures. Among various kinds of sensors, the class of non-contact sensor represents an endearing direction; indeed they can be easily installed on existing infrastructure in different scenes. Vision-based techniques, which enable dense global measurements of static deformations, as well as dynamic processes, are currently made available by ongoing technology developments. A vision system, which covers a medium range investigation area and takes advantage of fast-developing digital image processing and computer vision technologies, is constructed in this paper to monitor the vibration of a reduced scale frame available in the laboratory. Several markers are placed on the positions of interest. After preprocessing, calibration, segmentation, object representation and recognition, the 2D displacements of the markers are measured. Experiment results show that this tool for local positioning system (LPS) provides a satisfactory performance.
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Acknowledgements
This research is supported by a grant from the Athenaeum Research Funds of the University of Pavia (FAR 2011). The research activity summarized in this paper was developed within the framework of the Marie Curie European project SMARTEN.
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Casciati, F., Wu, L.J. (2014). Structural Monitoring Through Acquisition of Images. In: Belyaev, A., Irschik, H., Krommer, M. (eds) Mechanics and Model-Based Control of Advanced Engineering Systems. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1571-8_8
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DOI: https://doi.org/10.1007/978-3-7091-1571-8_8
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