Studies in Computational Intelligence

A Biologically Inspired CMOS Image Sensor

Authors: Sarkar, Mukul, Theuwissen, Albert

  • 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
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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.  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.

Table of contents (8 chapters)

  • Introduction

    Sarkar, Mukul (et al.)

    Pages 1-11

  • Natural and Artificial Compound Eye

    Sarkar, Mukul (et al.)

    Pages 13-48

  • Design of a CMOS Image Sensor

    Sarkar, Mukul (et al.)

    Pages 49-104

  • Design of a CMOS Polarization Sensor

    Sarkar, Mukul (et al.)

    Pages 105-155

  • Material Classification Using CMOS Polarization Sensor

    Sarkar, Mukul (et al.)

    Pages 157-184

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-642-34901-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-3-642-34900-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-3-642-44479-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
A Biologically Inspired CMOS Image Sensor
Authors
Series Title
Studies in Computational Intelligence
Series Volume
461
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-34901-0
DOI
10.1007/978-3-642-34901-0
Hardcover ISBN
978-3-642-34900-3
Softcover ISBN
978-3-642-44479-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 258
Topics