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26 July 2018 Determination of jeepney engine condition based on smoke emission analysis using carbon monoxide and carbon dioxide gas sensors with color-based segmentation using L*a*b color space
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Proceedings Volume 10828, Third International Workshop on Pattern Recognition; 108280T (2018) https://doi.org/10.1117/12.2502046
Event: Third International Workshop on Pattern Recognition, 2018, Jinan, China
Abstract
Jeepneys play a significant role in the Philippines’ transportation system as they are the most widely used mode of transportation in the country. With the advent of jeepney modernization, jeepneys with poor emissions are being threatened to be phased out due to excessive emissions of harmful gases. These will affect the environment as well as the health of the commuters. Using an Arduino, CO (Carbon Monoxide), CO2 (Carbon Dioxide) sensors and a webcam, the researchers have created a prototype which identifies the likely engine problem of the jeep from analyzing the smoke emissions. The device is accompanied with a graphical user interface for initializing the prototype, viewing real time data, and saving data for references and future use.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jessie R. Balbin, Glenn V. Magwili, Jordaniel C. Agus, Richard Anthony T. Malonga, Jazzleen S. Manalo, and Erick John B. Reyes "Determination of jeepney engine condition based on smoke emission analysis using carbon monoxide and carbon dioxide gas sensors with color-based segmentation using L*a*b color space", Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 108280T (26 July 2018); https://doi.org/10.1117/12.2502046
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