A. Das, Abhisek Ray, Abhisek Ghosh, Swarasree Bhattacharyya, Debaleena Mukherjee, T. K. Rana
{"title":"Vehicle accident prevent cum location monitoring system","authors":"A. Das, Abhisek Ray, Abhisek Ghosh, Swarasree Bhattacharyya, Debaleena Mukherjee, T. K. Rana","doi":"10.1109/IEMECON.2017.8079570","DOIUrl":null,"url":null,"abstract":"Rate of road accidents is increasing day by day. Fatal road accidents can be easily avoided by understanding the psychological state of a driver. Majority of road accidents occur during night driving due to the drowsiness state of a vehicle driver. The paper provides mechanism to reduce accidents to a large extend by monitoring eye blinking of the driver which indicates the drowsiness, obstacles located in the road and the drunken state of the drivers. Automatic pre-cautionary system is activated based on the above alarming condition. Accident and its probable location are also generated at the nearby police station that helps initiating medical help. In normal cases no medical help is received due to the non-availability of accident information. This happens mainly at night and in roads where the traffic is low.","PeriodicalId":231330,"journal":{"name":"2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMECON.2017.8079570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Rate of road accidents is increasing day by day. Fatal road accidents can be easily avoided by understanding the psychological state of a driver. Majority of road accidents occur during night driving due to the drowsiness state of a vehicle driver. The paper provides mechanism to reduce accidents to a large extend by monitoring eye blinking of the driver which indicates the drowsiness, obstacles located in the road and the drunken state of the drivers. Automatic pre-cautionary system is activated based on the above alarming condition. Accident and its probable location are also generated at the nearby police station that helps initiating medical help. In normal cases no medical help is received due to the non-availability of accident information. This happens mainly at night and in roads where the traffic is low.