Computational Sensors -- Vision VLSI

Kiyoharu AIZAWA

Computational Sensors -- Vision VLSI

Kiyoharu AIZAWA

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Computational sensor (smart sensor, vision chip in other words) is a very small integrated system, in which processing and sensing are unified on a single VLSI chip. It is designed for a specific targeted application. Research activities of computational sensor are described in this paper. There have been quite a few proposals and implementations in computational sensors. Firstly, their approaches are summarized from several points of view, such as advantage vs. disadvantage, neural vs. functional, architecture, analog vs. digital, local vs. global processing, imaging vs. processing, new processing paradigms. Then, several examples are introduced which are spatial processings, temporal processings, A/D conversions, programmable computational sensors. Finally, the paper is concluded.

Publication: IEICE TRANSACTIONS on Information Vol.E82-D No.3 pp.580-588

Publication Date: 1999/03/25

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Type of Manuscript: INVITED SURVEY PAPER

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Kiyoharu AIZAWA, "Computational Sensors -- Vision VLSI" in IEICE TRANSACTIONS on Information, vol. E82-D, no. 3, pp. 580-588, March 1999, doi: .
Abstract: Computational sensor (smart sensor, vision chip in other words) is a very small integrated system, in which processing and sensing are unified on a single VLSI chip. It is designed for a specific targeted application. Research activities of computational sensor are described in this paper. There have been quite a few proposals and implementations in computational sensors. Firstly, their approaches are summarized from several points of view, such as advantage vs. disadvantage, neural vs. functional, architecture, analog vs. digital, local vs. global processing, imaging vs. processing, new processing paradigms. Then, several examples are introduced which are spatial processings, temporal processings, A/D conversions, programmable computational sensors. Finally, the paper is concluded.
URL: https://global.ieice.org/en_transactions/information/10.1587/e82-d_3_580/_p

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@ARTICLE{e82-d_3_580,
author={Kiyoharu AIZAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Computational Sensors -- Vision VLSI},
year={1999},
volume={E82-D},
number={3},
pages={580-588},
abstract={Computational sensor (smart sensor, vision chip in other words) is a very small integrated system, in which processing and sensing are unified on a single VLSI chip. It is designed for a specific targeted application. Research activities of computational sensor are described in this paper. There have been quite a few proposals and implementations in computational sensors. Firstly, their approaches are summarized from several points of view, such as advantage vs. disadvantage, neural vs. functional, architecture, analog vs. digital, local vs. global processing, imaging vs. processing, new processing paradigms. Then, several examples are introduced which are spatial processings, temporal processings, A/D conversions, programmable computational sensors. Finally, the paper is concluded.},
keywords={},
doi={},
ISSN={},
month={March},}

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TY - JOUR
TI - Computational Sensors -- Vision VLSI
T2 - IEICE TRANSACTIONS on Information
SP - 580
EP - 588
AU - Kiyoharu AIZAWA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E82-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 1999
AB - Computational sensor (smart sensor, vision chip in other words) is a very small integrated system, in which processing and sensing are unified on a single VLSI chip. It is designed for a specific targeted application. Research activities of computational sensor are described in this paper. There have been quite a few proposals and implementations in computational sensors. Firstly, their approaches are summarized from several points of view, such as advantage vs. disadvantage, neural vs. functional, architecture, analog vs. digital, local vs. global processing, imaging vs. processing, new processing paradigms. Then, several examples are introduced which are spatial processings, temporal processings, A/D conversions, programmable computational sensors. Finally, the paper is concluded.
ER -