DocumentCode
726842
Title
Towards Self-Powered Cameras
Author
Nayar, Shree K. ; Sims, Daniel C. ; Fridberg, Mikhail
Author_Institution
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
fYear
2015
fDate
24-26 April 2015
Firstpage
1
Lastpage
10
Abstract
We propose a simple pixel design, where the pixel´s photodiode can be used to not only measure the incident light level, but also to convert the incident light into electrical energy. A sensor architecture is proposed where, during each image capture cycle, the pixels are used first to record and read out the image and then used to harvest energy and charge the sensors´ power supply. We have conducted several experiments using off-the-shelf discrete components to validate the practical feasibility of our approach. We first developed a single pixel based on our design and used it to physically scan images of scenes. Next, we developed a fully self-powered camera that produces 30×40 images. The camera uses a supercap rather than an external source as its power supply. For a scene that is around 300 lux in brightness, the voltage across the supercap remains well above the minimum needed for the camera to indefinitely produce an image per second. For scenarios where scene brightness may vary dramatically, we present an adaptive algorithm that adjusts the framerate of the camera based on the voltage of the supercap and the brightness of the scene. Finally, we analyze the light gathering and harvesting properties of our design and explain why we believe it could lead to a fully self-powered solid-state image sensor that produces a useful resolution and framerate.
Keywords
brightness; energy harvesting; image capture; image sensors; natural scenes; adaptive algorithm; brightness; energy harvesting; framerate adjustment; image capture cycle; image recording; light gathering properties analysis; light harvesting properties analysis; off-the-shelf discrete components; scenes; self-powered camera; self-powered solid-state image sensor; sensor architecture; sensor power supply; Cameras; Image sensors; Photodiodes; Photovoltaic systems; Robot sensing systems; Transistors;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Photography (ICCP), 2015 IEEE International Conference on
Conference_Location
Houston,TX
Type
conf
DOI
10.1109/ICCPHOT.2015.7168377
Filename
7168377
Link To Document