Jessie R. Balbin, G. Magwili, Jordaniel C. Agus, R. Malonga, Jazzleen S. Manalo, Erick John B. Reyes
{"title":"基于L*a*b颜色空间的基于颜色分割的一氧化碳和二氧化碳气体传感器烟雾排放分析的吉普尼发动机状态判断","authors":"Jessie R. Balbin, G. Magwili, Jordaniel C. Agus, R. Malonga, Jazzleen S. Manalo, Erick John B. Reyes","doi":"10.1117/12.2502046","DOIUrl":null,"url":null,"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.","PeriodicalId":90079,"journal":{"name":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","volume":"14 8","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"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\",\"authors\":\"Jessie R. Balbin, G. Magwili, Jordaniel C. Agus, R. Malonga, Jazzleen S. Manalo, Erick John B. Reyes\",\"doi\":\"10.1117/12.2502046\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":90079,\"journal\":{\"name\":\"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging\",\"volume\":\"14 8\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2502046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"... International Workshop on Pattern Recognition in NeuroImaging. International Workshop on Pattern Recognition in NeuroImaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2502046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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
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.