Cargando…

Characterization of a Vision-Based Tool for the Investigation of Geometric Characteristics of Ground-Deposited Volcanic Ash

With the support of public authorities and research institutions, volcanic ash fallout and its impact on the safety of people, infrastructure and services are addressed with the aim of defining protocols and instruments for the reliable and effective handling of related emergencies. Most of the solu...

Descripción completa

Detalles Bibliográficos
Autores principales: Andò, Bruno, Baglio, Salvatore, Castorina, Salvatore, Campisi, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784519/
https://www.ncbi.nlm.nih.gov/pubmed/36559985
http://dx.doi.org/10.3390/s22249616
_version_ 1784857831749451776
author Andò, Bruno
Baglio, Salvatore
Castorina, Salvatore
Campisi, Alberto
author_facet Andò, Bruno
Baglio, Salvatore
Castorina, Salvatore
Campisi, Alberto
author_sort Andò, Bruno
collection PubMed
description With the support of public authorities and research institutions, volcanic ash fallout and its impact on the safety of people, infrastructure and services are addressed with the aim of defining protocols and instruments for the reliable and effective handling of related emergencies. Most of the solutions proposed in the literature on ash fallout monitoring suffer from high cost and are demanding in terms of installation and maintenance. The approach suggested in this work is based on the use of a low-cost vision embedded system and a dedicated algorithm which automatically processes acquired frames of ground-deposited volcanic ash in order to estimate the main geometric properties of each particle identified in the work area. A complete characterization of the system is presented, along with a robustness analysis of particle shapes, their orientation and their position in the inspected frame. An accuracy of ±40.2 µm (with a 3σ limit) and a resolution of 32.9 µm (in the worst case), over a framed area of 130 mm by 100 mm, were estimated; these values would fulfill the objectives of the application.
format Online
Article
Text
id pubmed-9784519
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-97845192022-12-24 Characterization of a Vision-Based Tool for the Investigation of Geometric Characteristics of Ground-Deposited Volcanic Ash Andò, Bruno Baglio, Salvatore Castorina, Salvatore Campisi, Alberto Sensors (Basel) Article With the support of public authorities and research institutions, volcanic ash fallout and its impact on the safety of people, infrastructure and services are addressed with the aim of defining protocols and instruments for the reliable and effective handling of related emergencies. Most of the solutions proposed in the literature on ash fallout monitoring suffer from high cost and are demanding in terms of installation and maintenance. The approach suggested in this work is based on the use of a low-cost vision embedded system and a dedicated algorithm which automatically processes acquired frames of ground-deposited volcanic ash in order to estimate the main geometric properties of each particle identified in the work area. A complete characterization of the system is presented, along with a robustness analysis of particle shapes, their orientation and their position in the inspected frame. An accuracy of ±40.2 µm (with a 3σ limit) and a resolution of 32.9 µm (in the worst case), over a framed area of 130 mm by 100 mm, were estimated; these values would fulfill the objectives of the application. MDPI 2022-12-08 /pmc/articles/PMC9784519/ /pubmed/36559985 http://dx.doi.org/10.3390/s22249616 Text en © 2022 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 Article
Andò, Bruno
Baglio, Salvatore
Castorina, Salvatore
Campisi, Alberto
Characterization of a Vision-Based Tool for the Investigation of Geometric Characteristics of Ground-Deposited Volcanic Ash
title Characterization of a Vision-Based Tool for the Investigation of Geometric Characteristics of Ground-Deposited Volcanic Ash
title_full Characterization of a Vision-Based Tool for the Investigation of Geometric Characteristics of Ground-Deposited Volcanic Ash
title_fullStr Characterization of a Vision-Based Tool for the Investigation of Geometric Characteristics of Ground-Deposited Volcanic Ash
title_full_unstemmed Characterization of a Vision-Based Tool for the Investigation of Geometric Characteristics of Ground-Deposited Volcanic Ash
title_short Characterization of a Vision-Based Tool for the Investigation of Geometric Characteristics of Ground-Deposited Volcanic Ash
title_sort characterization of a vision-based tool for the investigation of geometric characteristics of ground-deposited volcanic ash
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784519/
https://www.ncbi.nlm.nih.gov/pubmed/36559985
http://dx.doi.org/10.3390/s22249616
work_keys_str_mv AT andobruno characterizationofavisionbasedtoolfortheinvestigationofgeometriccharacteristicsofgrounddepositedvolcanicash
AT bagliosalvatore characterizationofavisionbasedtoolfortheinvestigationofgeometriccharacteristicsofgrounddepositedvolcanicash
AT castorinasalvatore characterizationofavisionbasedtoolfortheinvestigationofgeometriccharacteristicsofgrounddepositedvolcanicash
AT campisialberto characterizationofavisionbasedtoolfortheinvestigationofgeometriccharacteristicsofgrounddepositedvolcanicash