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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/24/9616 |
| _version_ | 1827637053560455168 |
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| author | Bruno Andò Salvatore Baglio Salvatore Castorina Alberto Campisi |
| author_facet | Bruno Andò Salvatore Baglio Salvatore Castorina Alberto Campisi |
| author_sort | Bruno Andò |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T15:53:10Z |
| format | Article |
| id | doaj.art-e3a44bfa9c6d42d285c713a7835b53b5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T15:53:10Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e3a44bfa9c6d42d285c713a7835b53b52023-11-24T17:52:30ZengMDPI AGSensors1424-82202022-12-012224961610.3390/s22249616Characterization of a Vision-Based Tool for the Investigation of Geometric Characteristics of Ground-Deposited Volcanic AshBruno Andò0Salvatore Baglio1Salvatore Castorina2Alberto Campisi3Department of Electrical, Electronics and Computer Engineering (DIEEI), University of Catania, 95125 Catania, ItalyDepartment of Electrical, Electronics and Computer Engineering (DIEEI), University of Catania, 95125 Catania, ItalyDepartment of Electrical, Electronics and Computer Engineering (DIEEI), University of Catania, 95125 Catania, ItalyDepartment of Electrical, Electronics and Computer Engineering (DIEEI), University of Catania, 95125 Catania, ItalyWith 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.https://www.mdpi.com/1424-8220/22/24/9616volcanic ashvision systemembedded toolimage processingcharacterizationrobustness analysis |
| spellingShingle | Bruno Andò Salvatore Baglio Salvatore Castorina Alberto Campisi Characterization of a Vision-Based Tool for the Investigation of Geometric Characteristics of Ground-Deposited Volcanic Ash Sensors volcanic ash vision system embedded tool image processing characterization robustness analysis |
| 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 | volcanic ash vision system embedded tool image processing characterization robustness analysis |
| url | https://www.mdpi.com/1424-8220/22/24/9616 |
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