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Optical Memory and Neural Networks

Erschienen in:

01.03.2022

Survey on Energy Harvesting CMOS Sensor Based Digital Camera

verfasst von: Shaher Dwik, M. Lordwin Cecil Prabhaker

Erschienen in: Optical Memory and Neural Networks | Ausgabe 1/2022

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Abstract

A comprehensive survey for the past fifteen years in the field of energy harvesting camera is presented in this paper. Besides, comparisons of various techniques used, architectures and advantages and disadvantages of prior attempts for achieving energy harvesting camera. The term energy harvesting camera is used to describe the camera that does not need external power supply or battery but instead it can generate its needed energy by itself in every image capture cycle. A pixel in such cameras is used to sense the image and to harvest the energy for charging the power storage unit. The main component of this kind of cameras is the photodiode which can work in the photoconductive mode that the photodiode is reverse biased and the photovoltaic mode where the photodiode is zero biased. Such kind of cameras can solve many problems like wiring (cost and physical size) and changing batteries frequently, especially in hard to reach places. So that, there are various applications where these cameras can be used such as environmental monitoring, traffic cameras and roads surveillance, military reconnaissance, drones and astronaut’s suits.

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Titel: Survey on Energy Harvesting CMOS Sensor Based Digital Camera
verfasst von: Shaher Dwik
M. Lordwin Cecil Prabhaker
Publikationsdatum: 01.03.2022
Verlag: Pleiades Publishing
Erschienen in: Optical Memory and Neural Networks / Ausgabe 1/2022
Print ISSN: 1060-992X
Elektronische ISSN: 1934-7898
DOI: https://doi.org/10.3103/S1060992X22010039

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