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CMOS Image Sensors in Surveillance System Applications.

Susrutha Babu Sukhavasi¹, Suparshya Babu Sukhavasi¹, Khaled Elleithy¹

¹Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT 06604, USA.

Sensors (Basel, Switzerland)

|January 15, 2021

Summary

This summary is machine-generated.

Advancements in CMOS image sensors (CIS) have expanded their use in surveillance. This paper reviews CIS surveillance applications and design characteristics over the past decade.

Keywords:

CMOS image sensor dynamic range frame rate resolution signal-to-noise ratio surveillance systems

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Area of Science:

Engineering
Computer Science
Remote Sensing

Background:

Recent technological progress in CMOS image sensors (CIS) has significantly broadened their applicability.
CIS technology is now crucial for various demanding surveillance applications.

Purpose of the Study:

To provide a comprehensive overview of CMOS image sensor-based surveillance applications over the last decade.
To analyze and tabulate key design characteristics influencing image quality and processing technology.

Main Methods:

Surveying and tabulating different models of CMOS image sensors used across various applications.
Documenting design characteristics such as resolution, frame rate, dynamic range, and signal-to-noise ratio annually.

Main Results:

Identification of key CMOS image sensor models and their performance metrics over ten years.
Demonstration of the evolution of CIS technology in diverse surveillance fields.

Conclusions:

CMOS image sensors are integral to modern surveillance systems, from intelligent visual monitoring to space-based environmental observation.
The continuous improvement in CIS design characteristics drives innovation in surveillance capabilities.