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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/2/488 |
| _version_ | 1797412663545823232 |
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| author | Susrutha Babu Sukhavasi Suparshya Babu Sukhavasi Khaled Elleithy Shakour Abuzneid Abdelrahman Elleithy |
| author_facet | Susrutha Babu Sukhavasi Suparshya Babu Sukhavasi Khaled Elleithy Shakour Abuzneid Abdelrahman Elleithy |
| author_sort | Susrutha Babu Sukhavasi |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T05:06:22Z |
| format | Article |
| id | doaj.art-cd6708ad81054650ae94f924ad2d05c9 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T05:06:22Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cd6708ad81054650ae94f924ad2d05c92023-12-03T12:54:54ZengMDPI AGSensors1424-82202021-01-0121248810.3390/s21020488CMOS Image Sensors in Surveillance System ApplicationsSusrutha Babu Sukhavasi0Suparshya Babu Sukhavasi1Khaled Elleithy2Shakour Abuzneid3Abdelrahman Elleithy4Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT 06604, USADepartment of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT 06604, USADepartment of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT 06604, USADepartment of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT 06604, USADepartment of Computer Science, William Paterson University, Wayne, NJ 07470, USARecent 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.https://www.mdpi.com/1424-8220/21/2/488CMOS image sensorsurveillance systemsresolutiondynamic rangeframe ratesignal-to-noise ratio |
| spellingShingle | Susrutha Babu Sukhavasi Suparshya Babu Sukhavasi Khaled Elleithy Shakour Abuzneid Abdelrahman Elleithy CMOS Image Sensors in Surveillance System Applications Sensors CMOS image sensor surveillance systems resolution dynamic range frame rate signal-to-noise ratio |
| 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 | CMOS image sensor surveillance systems resolution dynamic range frame rate signal-to-noise ratio |
| url | https://www.mdpi.com/1424-8220/21/2/488 |
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