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Event-Based pixel sensitive to changes of color and brightness


Berner, R; Delbruck, T (2011). Event-Based pixel sensitive to changes of color and brightness. Circuits and Systems I: Regular Papers, IEEE Transactions on, 58(7):1581-1590.

Abstract

Vision sensors whose pixels asynchronously generate informative output events are gathering increasing interest because they can reduce the data latency, rate, and redundancy, while also increasing dynamic range. This paper proposes such a dynamic vision sensor (DVS) pixel which is aimed at color vision (cDVS). The pixel combines subthreshold continuous time analog circuits with event-driven switched capacitor amplifiers and asynchronous digital outputs. The cDVS simultaneously detects separate log-intensity and wavelength change events using a single buried double junction (BDJ) photodiode. Chip measurements show that the cDVS color change pathway can detect light wavelength changes as small as 15 nm while the cDVS relative intensity change pathway detects changes as small as 10% of intensity. The circuit is characterized and improvements are proposed.

Abstract

Vision sensors whose pixels asynchronously generate informative output events are gathering increasing interest because they can reduce the data latency, rate, and redundancy, while also increasing dynamic range. This paper proposes such a dynamic vision sensor (DVS) pixel which is aimed at color vision (cDVS). The pixel combines subthreshold continuous time analog circuits with event-driven switched capacitor amplifiers and asynchronous digital outputs. The cDVS simultaneously detects separate log-intensity and wavelength change events using a single buried double junction (BDJ) photodiode. Chip measurements show that the cDVS color change pathway can detect light wavelength changes as small as 15 nm while the cDVS relative intensity change pathway detects changes as small as 10% of intensity. The circuit is characterized and improvements are proposed.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Physical Sciences > Electrical and Electronic Engineering
Language:English
Date:2011
Deposited On:03 Sep 2014 12:41
Last Modified:24 Jan 2022 04:39
Publisher:IEEE Transactions on Circuits and Systems I, Regular Papers
Series Name:Circuits and Systems I: Regular Papers, IEEE Transactions on
Number of Pages:10
OA Status:Closed
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1109/TCSI.2011.2157770
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