Gas identification system based on temperature modulation tin-oxide sensors and bio-inspired processing

This paper presents a gas identification system for electronic nose inspired from the biological olfactory system. Temperature modulation is first used to virtually boost the number of sensors by periodically sampling the sensorspsila response at different temperatures. Convex tin-oxide sensor technology is used to increase the thermal efficiency of our in-house gas sensors. The response of each sensor is seen as a fingerprint map which is further processed using various image processing techniques. Indeed, SOM algorithm is used to create a 2D map for each gas and the image moments are calculated to retrieve the blighter regions in the SOMpsilas nodes that show high activity to the input gas. The obtained results using the proposed technique are very encouraging.