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http://dx.doi.org/10.5302/J.ICROS.2013.13.8008

A Dust Detection Sensor System for Improvement of a Robot Vacuum Cleaner  

Kim, Dong-Hoe (Department of Electrical Engineering, KyungHee University)
Min, Byung-Cheol (Computer & Information Technology, Purdue University)
Kim, Donghan (Department of Electrical Engineering, KyungHee University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.19, no.10, 2013 , pp. 896-900 More about this Journal
Abstract
In this paper, we develop a dust detection sensor system capable of identifying types of dust for an improvement of a robot vacuum cleaner. The dust detection sensor system is composed of a set of infra-red sensors: a single transmitter and multiple receivers. Given the fixed amount of light transmitted from the transmitter, the amount of light coming in multiple receiver sensors varies, depending on the type and density of dust that is passing between the transmitter and the receivers. Therefore, the type of dust can be identified by means of observing the change of the amount of light from the receiver sensors. For experiments, we use two types of dust, rice and sesame, and validate the effectiveness of the proposed method.
Keywords
dust sensor; robot vacuum cleaner; IR (Infra-Red) sensor; pixel-based image similarity;
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