Retina-Motivated CMOS Vision Chip Based on Column Parallel Architecture and Switch-Selective Resistive Network

  • Kong, Jae-Sung (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Hyun, Hyo-Young (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Seo, Sang-Ho (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Shin, Jang-Kyoo (School of Electrical Engineering and Computer Science, Kyungpook National University)
  • Received : 2008.05.06
  • Accepted : 2008.08.18
  • Published : 2008.12.31

Abstract

A bio-inspired vision chip for edge detection was fabricated using 0.35 ${\mu}m$ double-poly four-metal complementary metal-oxide-semiconductor technology. It mimics the edge detection mechanism of a biological retina. This type of vision chip offer several advantages including compact size, high speed, and dense system integration. Low resolution and relatively high power consumption are common limitations of these chips because of their complex circuit structure. We have tried to overcome these problems by rearranging and simplifying their circuits. A vision chip of $160{\times}120$ pixels has been fabricated in $5{\times}5\;mm^2$ silicon die. It shows less than 10 mW of power consumption.

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