TY - GEN
T1 - Real-Time image processing for non-contact monitoring of dynamic displacements using smartphone technologies
AU - Min, Jae Hong
AU - Gelo, Nikolas J.
AU - Jo, Hongki
N1 - Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Computer vision
KW - Dynamic displacement monitoring
KW - Real time image processing
KW - Smartphone technology
KW - Structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=84981320865&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84981320865&partnerID=8YFLogxK
U2 - 10.1117/12.2219418
DO - 10.1117/12.2219418
M3 - Conference contribution
AN - SCOPUS:84981320865
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016
A2 - Lynch, Jerome P.
PB - SPIE
T2 - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016
Y2 - 21 March 2016 through 24 March 2016
ER -