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Liquid Level Detection in Standard Capacity Measures with Machine Vision

Capacity measures are commonly used volume standards for testing measuring systems for liquids other than water. Manual readings from the measuring scale can often be difficult due to the location of the capacity measure or to the nature of the measured liquid. This article focuses on the automation...

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Detalles Bibliográficos
Autores principales: Bobovnik, Gregor, Mušič, Tim, Kutin, Jože
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069151/
https://www.ncbi.nlm.nih.gov/pubmed/33920251
http://dx.doi.org/10.3390/s21082676
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author Bobovnik, Gregor
Mušič, Tim
Kutin, Jože
author_facet Bobovnik, Gregor
Mušič, Tim
Kutin, Jože
author_sort Bobovnik, Gregor
collection PubMed
description Capacity measures are commonly used volume standards for testing measuring systems for liquids other than water. Manual readings from the measuring scale can often be difficult due to the location of the capacity measure or to the nature of the measured liquid. This article focuses on the automation of this procedure by using a single camera machine vision system. A camera positioned perpendicular to the transparent neck captures the image of the liquid meniscus and the measuring scale. The volume reading is determined with the user-defined software in the LabVIEW programming environment, which carries out the image preprocessing, detection of the scale marks and the liquid level, correction of lens distortion and parallax effects and final unit conversions. The realized measuring system for liquid level detection in standard capacity measures is tested and validated by comparing the automated measurement results with those taken by the operators. The results confirm the appropriateness of the presented measuring system for the field of legal metrology.
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spelling pubmed-80691512021-04-26 Liquid Level Detection in Standard Capacity Measures with Machine Vision Bobovnik, Gregor Mušič, Tim Kutin, Jože Sensors (Basel) Communication Capacity measures are commonly used volume standards for testing measuring systems for liquids other than water. Manual readings from the measuring scale can often be difficult due to the location of the capacity measure or to the nature of the measured liquid. This article focuses on the automation of this procedure by using a single camera machine vision system. A camera positioned perpendicular to the transparent neck captures the image of the liquid meniscus and the measuring scale. The volume reading is determined with the user-defined software in the LabVIEW programming environment, which carries out the image preprocessing, detection of the scale marks and the liquid level, correction of lens distortion and parallax effects and final unit conversions. The realized measuring system for liquid level detection in standard capacity measures is tested and validated by comparing the automated measurement results with those taken by the operators. The results confirm the appropriateness of the presented measuring system for the field of legal metrology. MDPI 2021-04-10 /pmc/articles/PMC8069151/ /pubmed/33920251 http://dx.doi.org/10.3390/s21082676 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Bobovnik, Gregor
Mušič, Tim
Kutin, Jože
Liquid Level Detection in Standard Capacity Measures with Machine Vision
title Liquid Level Detection in Standard Capacity Measures with Machine Vision
title_full Liquid Level Detection in Standard Capacity Measures with Machine Vision
title_fullStr Liquid Level Detection in Standard Capacity Measures with Machine Vision
title_full_unstemmed Liquid Level Detection in Standard Capacity Measures with Machine Vision
title_short Liquid Level Detection in Standard Capacity Measures with Machine Vision
title_sort liquid level detection in standard capacity measures with machine vision
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069151/
https://www.ncbi.nlm.nih.gov/pubmed/33920251
http://dx.doi.org/10.3390/s21082676
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