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Strong Radiation Field Online Detection and Monitoring System with Camera

Herein, we report the γ-ray ionizing radiation response of a commercial monolithic active-pixel sensor (MAPS) camera under strong-dose-rate irradiation with an online detection and monitoring system for strong radiation conditions. We present the first results of the distribution of three types of M...

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Autores principales: Han, Yongchao, Xu, Shoulong, Liu, Yang, Xu, Ling, Gong, Dawei, Qin, Zhiwei, Dong, Hanfeng, Yang, Huaiqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955199/
https://www.ncbi.nlm.nih.gov/pubmed/35336450
http://dx.doi.org/10.3390/s22062279
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author Han, Yongchao
Xu, Shoulong
Liu, Yang
Xu, Ling
Gong, Dawei
Qin, Zhiwei
Dong, Hanfeng
Yang, Huaiqing
author_facet Han, Yongchao
Xu, Shoulong
Liu, Yang
Xu, Ling
Gong, Dawei
Qin, Zhiwei
Dong, Hanfeng
Yang, Huaiqing
author_sort Han, Yongchao
collection PubMed
description Herein, we report the γ-ray ionizing radiation response of a commercial monolithic active-pixel sensor (MAPS) camera under strong-dose-rate irradiation with an online detection and monitoring system for strong radiation conditions. We present the first results of the distribution of three types of MAPS camera and establish a linear relationship between the average response signal and radiation dose rate in the strong-dose-rate range. There is an obvious response signal in the video frames when the camera module parameters are set to automatic, but the linear response is very poor. However, the fixed image parameters are not good at adapting to the changes of the environment and affect the quality of the video frames. A dual module online radiation detection and monitoring probe was made to carry out effective video monitoring and radiation detection at the same time. The measurement results show that the dose rate detection error is less than 5% with a dose rate in the range of 60 to 425 Gy/h, and the visible light image does not have obvious distortion, deformation, or color shift due to the interference of the radiation response event and radiation damage. Hence, the system test results show that it can be used for online detection and monitoring in a strong radiation environment.
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spelling pubmed-89551992022-03-26 Strong Radiation Field Online Detection and Monitoring System with Camera Han, Yongchao Xu, Shoulong Liu, Yang Xu, Ling Gong, Dawei Qin, Zhiwei Dong, Hanfeng Yang, Huaiqing Sensors (Basel) Communication Herein, we report the γ-ray ionizing radiation response of a commercial monolithic active-pixel sensor (MAPS) camera under strong-dose-rate irradiation with an online detection and monitoring system for strong radiation conditions. We present the first results of the distribution of three types of MAPS camera and establish a linear relationship between the average response signal and radiation dose rate in the strong-dose-rate range. There is an obvious response signal in the video frames when the camera module parameters are set to automatic, but the linear response is very poor. However, the fixed image parameters are not good at adapting to the changes of the environment and affect the quality of the video frames. A dual module online radiation detection and monitoring probe was made to carry out effective video monitoring and radiation detection at the same time. The measurement results show that the dose rate detection error is less than 5% with a dose rate in the range of 60 to 425 Gy/h, and the visible light image does not have obvious distortion, deformation, or color shift due to the interference of the radiation response event and radiation damage. Hence, the system test results show that it can be used for online detection and monitoring in a strong radiation environment. MDPI 2022-03-16 /pmc/articles/PMC8955199/ /pubmed/35336450 http://dx.doi.org/10.3390/s22062279 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 Communication
Han, Yongchao
Xu, Shoulong
Liu, Yang
Xu, Ling
Gong, Dawei
Qin, Zhiwei
Dong, Hanfeng
Yang, Huaiqing
Strong Radiation Field Online Detection and Monitoring System with Camera
title Strong Radiation Field Online Detection and Monitoring System with Camera
title_full Strong Radiation Field Online Detection and Monitoring System with Camera
title_fullStr Strong Radiation Field Online Detection and Monitoring System with Camera
title_full_unstemmed Strong Radiation Field Online Detection and Monitoring System with Camera
title_short Strong Radiation Field Online Detection and Monitoring System with Camera
title_sort strong radiation field online detection and monitoring system with camera
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955199/
https://www.ncbi.nlm.nih.gov/pubmed/35336450
http://dx.doi.org/10.3390/s22062279
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