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CMOS Image Sensors in Surveillance System Applications
Recent technology advances in CMOS image sensors (CIS) enable their utilization in the most demanding of surveillance fields, especially visual surveillance and intrusion detection in intelligent surveillance systems, aerial surveillance in war zones, Earth environmental surveillance by satellites i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827463/ https://www.ncbi.nlm.nih.gov/pubmed/33445557 http://dx.doi.org/10.3390/s21020488 |
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author | Sukhavasi, Susrutha Babu Sukhavasi, Suparshya Babu Elleithy, Khaled Abuzneid, Shakour Elleithy, Abdelrahman |
author_facet | Sukhavasi, Susrutha Babu Sukhavasi, Suparshya Babu Elleithy, Khaled Abuzneid, Shakour Elleithy, Abdelrahman |
author_sort | Sukhavasi, Susrutha Babu |
collection | PubMed |
description | Recent technology advances in CMOS image sensors (CIS) enable their utilization in the most demanding of surveillance fields, especially visual surveillance and intrusion detection in intelligent surveillance systems, aerial surveillance in war zones, Earth environmental surveillance by satellites in space monitoring, agricultural monitoring using wireless sensor networks and internet of things and driver assistance in automotive fields. This paper presents an overview of CMOS image sensor-based surveillance applications over the last decade by tabulating the design characteristics related to image quality such as resolution, frame rate, dynamic range, signal-to-noise ratio, and also processing technology. Different models of CMOS image sensors used in all applications have been surveyed and tabulated for every year and application. |
format | Online Article Text |
id | pubmed-7827463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78274632021-01-25 CMOS Image Sensors in Surveillance System Applications Sukhavasi, Susrutha Babu Sukhavasi, Suparshya Babu Elleithy, Khaled Abuzneid, Shakour Elleithy, Abdelrahman Sensors (Basel) Review Recent technology advances in CMOS image sensors (CIS) enable their utilization in the most demanding of surveillance fields, especially visual surveillance and intrusion detection in intelligent surveillance systems, aerial surveillance in war zones, Earth environmental surveillance by satellites in space monitoring, agricultural monitoring using wireless sensor networks and internet of things and driver assistance in automotive fields. This paper presents an overview of CMOS image sensor-based surveillance applications over the last decade by tabulating the design characteristics related to image quality such as resolution, frame rate, dynamic range, signal-to-noise ratio, and also processing technology. Different models of CMOS image sensors used in all applications have been surveyed and tabulated for every year and application. MDPI 2021-01-12 /pmc/articles/PMC7827463/ /pubmed/33445557 http://dx.doi.org/10.3390/s21020488 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Sukhavasi, Susrutha Babu Sukhavasi, Suparshya Babu Elleithy, Khaled Abuzneid, Shakour Elleithy, Abdelrahman CMOS Image Sensors in Surveillance System Applications |
title | CMOS Image Sensors in Surveillance System Applications |
title_full | CMOS Image Sensors in Surveillance System Applications |
title_fullStr | CMOS Image Sensors in Surveillance System Applications |
title_full_unstemmed | CMOS Image Sensors in Surveillance System Applications |
title_short | CMOS Image Sensors in Surveillance System Applications |
title_sort | cmos image sensors in surveillance system applications |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827463/ https://www.ncbi.nlm.nih.gov/pubmed/33445557 http://dx.doi.org/10.3390/s21020488 |
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