Use of lightweight FFT-based algorithms for remote measurements using DIC
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F23%3A00367585" target="_blank" >RIV/68407700:21110/23:00367585 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.14311/APP.2023.40.0123" target="_blank" >https://doi.org/10.14311/APP.2023.40.0123</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14311/APP.2023.40.0123" target="_blank" >10.14311/APP.2023.40.0123</a>
Alternative languages
Result language
angličtina
Original language name
Use of lightweight FFT-based algorithms for remote measurements using DIC
Original language description
Abrupt collapse events that result in casualties due to failure of load-bearing structures have been reported in recent years. Continuous remote monitoring of these structures, assessing the behavior under operational load, could provide a reliable prevention, as the developing damage manifests itself through a loss of stiffness, and therefore excessive deflections. Digital image correlation (DIC) algorithms based on fast Fourier transform (FFT) were implemented in a small computer unit Raspberry Pi, capable of remote operation in a low-energy demand mode. The unit is fully autonomous, capable of localizing QR code targets and extracting encoded information. This strategy allows us to instantly evaluate displacements of QR codes attached to any surface and send the data to a server. The software was developed in Python, allowing for two modes: the online mode for current data evaluation with information transfer via the MQTT protocol and the offline mode used for retrospective evaluation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
NMM 2022 Nano & Macro Mechanics
ISBN
978-80-01-07186-1
ISSN
2336-5382
e-ISSN
2336-5382
Number of pages
6
Pages from-to
123-128
Publisher name
České vysoké učení technické v Praze
Place of publication
Praha
Event location
Praha
Event date
Sep 15, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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