@inproceedings{9f66ea145b8946f6a741303f43258cfb,
title = "Real-Time image processing for non-contact monitoring of dynamic displacements using smartphone technologies",
abstract = "The newly developed smartphone application, named RINO, in this study allows measuring absolute dynamic displacements and processing them in real time using state-of-The-Art smartphone technologies, such as high-performance graphics processing unit (GPU), in addition to already powerful CPU and memories, embedded high-speed/ resolution camera, and open-source computer vision libraries. A carefully designed color-patterned target and user-Adjustable crop filter enable accurate and fast image processing, allowing up to 240fps for complete displacement calculation and real-Time display. The performances of the developed smartphone application are experimentally validated, showing comparable accuracy with those of conventional laser displacement sensor.",
keywords = "Computer vision, Dynamic displacement monitoring, Real time image processing, Smartphone technology, Structural health monitoring",
author = "Min, \{Jae Hong\} and Gelo, \{Nikolas J.\} and Hongki Jo",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016 ; Conference date: 21-03-2016 Through 24-03-2016",
year = "2016",
doi = "10.1117/12.2219418",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Lynch, \{Jerome P.\}",
booktitle = "Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016",
}