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The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms
In this paper, we discuss a practice of potential cosmic ray detection using off-the-shelves CMOS cameras. We discuss and presents the limitations of up-to-date hardware and software approaches to this task. We also present a hardware solution that we made for long-term testing of algorithms for pot...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220736/ https://www.ncbi.nlm.nih.gov/pubmed/37430771 http://dx.doi.org/10.3390/s23104858 |
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author | Hachaj, Tomasz Piekarczyk, Marcin |
author_facet | Hachaj, Tomasz Piekarczyk, Marcin |
author_sort | Hachaj, Tomasz |
collection | PubMed |
description | In this paper, we discuss a practice of potential cosmic ray detection using off-the-shelves CMOS cameras. We discuss and presents the limitations of up-to-date hardware and software approaches to this task. We also present a hardware solution that we made for long-term testing of algorithms for potential cosmic ray detection. We have also proposed, implemented and tested a novel algorithm that enables real-time processing of image frames acquired by CMOS cameras in order to detect tracks of potential particles. We have compared our results with already published results and obtained acceptable results overcoming some limitation of already existing algorithms. Both source codes and data are available to download. |
format | Online Article Text |
id | pubmed-10220736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102207362023-05-28 The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms Hachaj, Tomasz Piekarczyk, Marcin Sensors (Basel) Article In this paper, we discuss a practice of potential cosmic ray detection using off-the-shelves CMOS cameras. We discuss and presents the limitations of up-to-date hardware and software approaches to this task. We also present a hardware solution that we made for long-term testing of algorithms for potential cosmic ray detection. We have also proposed, implemented and tested a novel algorithm that enables real-time processing of image frames acquired by CMOS cameras in order to detect tracks of potential particles. We have compared our results with already published results and obtained acceptable results overcoming some limitation of already existing algorithms. Both source codes and data are available to download. MDPI 2023-05-18 /pmc/articles/PMC10220736/ /pubmed/37430771 http://dx.doi.org/10.3390/s23104858 Text en © 2023 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 Hachaj, Tomasz Piekarczyk, Marcin The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms |
title | The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms |
title_full | The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms |
title_fullStr | The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms |
title_full_unstemmed | The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms |
title_short | The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms |
title_sort | practice of detecting potential cosmic rays using cmos cameras: hardware and algorithms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220736/ https://www.ncbi.nlm.nih.gov/pubmed/37430771 http://dx.doi.org/10.3390/s23104858 |
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