000 03360nam a22004695i 4500
001 978-3-642-34901-0
003 DE-He213
005 20140220082858.0
007 cr nn 008mamaa
008 121214s2013 gw | s |||| 0|eng d
020 _a9783642349010
_9978-3-642-34901-0
024 7 _a10.1007/978-3-642-34901-0
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aSarkar, Mukul.
_eauthor.
245 1 2 _aA Biologically Inspired CMOS Image Sensor
_h[electronic resource] /
_cby Mukul Sarkar, Albert Theuwissen.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXII, 300 p. 166 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v461
505 0 _aNatural and artificial compound eye -- Design of a CMOS image sensor -- Design of a CMOS polarization sensor -- Material classification using CMOS polarization sensor -- Navigation using CMOS polarization sensor -- Motion detection and digital polarization -- Future works.
520 _aBiological 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.
650 0 _aEngineering.
650 0 _aComputer vision.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aSignal, Image and Speech Processing.
700 1 _aTheuwissen, Albert.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642349003
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v461
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-34901-0
912 _aZDB-2-ENG
999 _c97567
_d97567