Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT 06604, USA.
Department of Computer Science, William Paterson University, Wayne, NJ 07470, USA.
Sensors (Basel). 2021 Jan 12;21(2):488. doi: 10.3390/s21020488.
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.
近年来,CMOS 图像传感器(CIS)技术的进步使其能够应用于最苛刻的监控领域,特别是智能监控系统中的视觉监控和入侵检测、战区的空中监控、卫星在空间监测中的地球环境监控、利用无线传感器网络和物联网的农业监控以及汽车领域的驾驶员辅助。本文通过表格形式列出了与图像质量相关的设计特性,如分辨率、帧率、动态范围、信噪比,以及处理技术,综述了过去十年基于 CMOS 图像传感器的监控应用。还调查和列出了所有应用中使用的不同型号的 CMOS 图像传感器,以及每年的应用情况。