Characterization of a neuromorphic motion detection chip based on insect visual system

Russell S.A. Brinkworth, Patrick A. Shoemaker, David C. O'Carroll

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

The majority of current engineered approaches to calculating self-motion from visual information generally relies on object identification and/or correlation of image sections between successive frames. Such calculations are computationally expensive, require high-frame rate cameras for smooth motion detection and real-time digital implementation requires powerful processors. Alternatively, flies arrive at essentially the same outcome, estimation of self-motion, in a much smaller package using vastly less power. Despite potential advantages, and some notable successes, few visual neuromorphic analog VLSI devices have been employed. Due to various practical limitations most devices are promising in simulation but do not work as expected when put into real-world testing. This paper describes a hardware implementation, in aVLSI, of an adaptive model for motion detection. The chip integrates motion over a 1D circular array of local motion processors to give a single voltage output. The device is integrated with a circular array of 40 photodiodes to form a visual rotation sensor. Tested using natural images, this motion detecting chip provides an accurate estimation of rotational motion largely independent of the structure and contrast of the scene, using <1 mW of power and weighing only a few grams. In principle, such devices could be used as an element of a velocity-based servo to replace or augment inertial guidance systems in applications such as mUAVs, with wider applications as smart car sensors, intruder detectors and even visual aids for the blind.

Original languageEnglish
Title of host publication2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
Pages289-294
Number of pages6
DOIs
Publication statusPublished - Feb 2010
Externally publishedYes
Event2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2009 - Melbourne, Australia
Duration: 7 Dec 200910 Dec 2009

Publication series

NameISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing

Conference

Conference2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2009
CountryAustralia
CityMelbourne
Period7/12/0910/12/09

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