nahavandi-alowcostintelligent-2008.pdf (596.32 kB)
A low-cost intelligent gas sensing device for military applications
conference contribution
posted on 2008-01-01, 00:00 authored by R Kennedy, Saeid NahavandiThe field of electronic noses and gas sensing has been developing rapidly since the introduction of the silicon based sensors. There are numerous systems that can detect and indicate the level of a specific gas. We introduce here a system that is low power, small and cheap enough to be used in mobile robotic platforms while still being accurate and reliable enough for confident use. The design is based around a small circuit board mounted in a plastic case with holes to allow the sensors to protrude through the top and allow the natural flow of gas evenly across them. The main control board consists of a microcontroller PCB with surface mount components for low cost and power consumption. The firmware of the device is based on an algorithm that uses an Artificial Neural Network (ANN) which receives input from an array of gas sensors. The various sensors feeding the ANN allow the microcontroller to determine the gas type and quantity. The Testing of the device involves the training of the ANN with a number of different target gases to determine the weightings for the ANN. Accuracy and reliability of the ANN is validated through testing in a specific gas filled environment.
History
Event
IEEE International Congress on Image and Signal Processing (1st : 2008 : Hainan, China)Pagination
3 - 8Publisher
IEEE Computer SocietyLocation
Hainan, ChinaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2008-05-27End date
2008-05-30ISBN-13
9780769531199Language
engNotes
©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.Publication classification
E1 Full written paper - refereedCopyright notice
2008, IEEEEditor/Contributor(s)
D Li, G DengTitle of proceedings
CISP 2008 : Proceedings of the First International Congress on Image and Signal ProcessingUsage metrics
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