Overview
- Latest research on Polarization Vision Detection using a CMOS Image Sensor
- Presents an example of a Biologically Inspired CMOS Image Sensor
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Biological systems are a source of inspiration in the development of small autonomous sensor nodes. The two major types of optical vision systems found in nature are the single aperture human eye and the compound eye of insects. The latter are among the most compact and smallest vision sensors. The eye is a compound of individual lenses with their own photoreceptor arrays. Â The visual system of insects allows them to fly with a limited intelligence and brain processing power. A CMOS image sensor replicating the perception of vision in insects is discussed and designed in this book for industrial (machine vision) and medical applications.
The CMOS metal layer is used to create an embedded micro-polarizer able to sense polarization information. This polarization information is shown to be useful in applications like real time material classification and autonomous agent navigation. Further the sensor is equipped with in pixel analog and digital memories which allow variation of the dynamic range and in-pixel binarization in real time. The binary output of the pixel tries to replicate the flickering effect of the insect’s eye to detect smallest possible motion based on the change in state. An inbuilt counter counts the changes in states for each row to estimate the direction of the motion. The chip consists of an array of 128x128 pixels, it occupies an area of 5 x 4 mm2 and it has been designed and fabricated in an 180nm CMOS CIS process from UMC.
Authors and Affiliations
Bibliographic Information
Book Title: A Biologically Inspired CMOS Image Sensor
Authors: Mukul Sarkar, Albert Theuwissen
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-34901-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-34900-3Published: 14 December 2012
Softcover ISBN: 978-3-642-44479-1Published: 29 January 2015
eBook ISBN: 978-3-642-34901-0Published: 14 December 2012
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 258
Topics: Computational Intelligence, Image Processing and Computer Vision, Signal, Image and Speech Processing