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Invisible Odor Trace Tracking with LSPR based High Speed Gas Sensor Robot System

Yasuhiro Kusuda, Zhongyuan Yang, Takaaki Soeda, Fumihiro Sassa, Kenshi Hayashi

Year
2019
Citations
4

Abstract

Various odor robots have been developed for finding gas sources. However, the response speed of sensors is now a major limit for the promotion of odor robot using chemical substances information. In this research, we have developed a robot equipped with two LSPR (Localized Surface Plasmon Resonance) gas sensor module that can quickly respond to gas molecules at a high speed of above 25 Hz and set a specific algorithm for tracking the invisible odor line on the ground.

Keywords

OdorComputer scienceTRACE (psycholinguistics)Tracking (education)Trace gasArtificial intelligenceRobotTracking systemComputer visionChemistry

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