The System for Fatigue Crack Propagation Detection Based on Machine Vision
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F21%3A10248121" target="_blank" >RIV/61989100:27230/21:10248121 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICCC51557.2021.9454600" target="_blank" >http://dx.doi.org/10.1109/ICCC51557.2021.9454600</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCC51557.2021.9454600" target="_blank" >10.1109/ICCC51557.2021.9454600</a>
Alternative languages
Result language
angličtina
Original language name
The System for Fatigue Crack Propagation Detection Based on Machine Vision
Original language description
This paper introduces a machine vision-based system design that is a promising solution for such a problem like a technology detecting the fatigue crack propagation. Fatigue cracks propagate because of alternating mechanical stresses. In technical components they usually start on surfaces at points of stress concentration. The system uses USB 3.0 camera with the Sony IMX264 CMOS sensor delivers 35 frames per second at 5.0 MP resolution in cooperation of PC based NI VisionBuilder software. Various segmentation methods have been explored to extract region of interest in acquired images and compared based on the capability of segmentation in real-time. The paper presents results of algorithm outputs taken on fatigue crack propagation samples and implementation of a machine vision system. (C) 2021 IEEE.
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
20301 - Mechanical engineering
Result continuities
Project
<a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 22nd International Carpathian Control Conference, ICCC 2021
ISBN
978-1-72818-609-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Piscataway
Event location
Velké Karlovice, Czech Republic
Event date
May 31, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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