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- W95853206 abstract "Various studies indicated that inhaled microscopic air borne dust particles with diameter less than 10 micrometers (PM10) can cause significant effect on human health suchas heart disease, asthma, stroke, bronchitis and other respiratory diseases. This is due to their ability to penetrate deep into the blood stream and embed themselves in the lung tissue and alveoli.The aim of this project is to develop a portable low-cost air particle monitoring systems using image processing techniques. Research was conducted on current literaturesbased on image processing techniques. Existing methods of monitoring air quality of the surrounding environment has not been fully utilized with image processing techniques. The advances in technology in image processing and its mass uses means it can be afforded at low cost. This system can be commercialised and with the aid of internet protocols the data can be accessible for real-time observation.A image processing methodology was investigated, developed and implemented. The investigation of this methodology include the investigation on moving images and pro-cessing of these images frames.The existing literature was investigated, and image processing techniques for backscattering and reection methods were researched. The researched investigated on frame integration and reduction of noise using normalization and averaging (Yi, Peng & Xiao 2009),(Yang, Xue & Tian 2005a), and conversion of video frames to picture frames. These methods were used in processing of the recorded videos.When image processing techniques were discovered, the implementation of those techniques was a prototype to detect microscopic particle using methods based on backscat-tering and reection of light. In the experiments conducted the results evaluated showed a detectable level of different amounts of dust concentration in per cubic meters. Analysis showed that image processing monitoring system designed was a viable option to available air quality monitoring systems in public areas and industries." @default.
- W95853206 created "2016-06-24" @default.
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- W95853206 date "2013-10-01" @default.
- W95853206 modified "2023-09-27" @default.
- W95853206 title "Air particle monitoring using image processing" @default.
- W95853206 hasPublicationYear "2013" @default.
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