Avagaddi Prasad, Janapamula Pavankalyan, Alapati Sai Ganesh, Kakileti Murali Krishna
{"title":"困倦和酒精检测与发动机锁定","authors":"Avagaddi Prasad, Janapamula Pavankalyan, Alapati Sai Ganesh, Kakileti Murali Krishna","doi":"10.1109/C2I456876.2022.10051464","DOIUrl":null,"url":null,"abstract":"At present days most accidents happening caused by drunken driving and Drowsiness. These accidents are increasing deaths and economic losses. The cause of drowsiness is continuous driving for long distances and stress levels in working places is reduced in sleeping then it leads to sleep driving. To control these types of accidents, we are implementing this model, in this model blink sensors and M Q3 alcohol sensors are used. The blink and alcohol sensors output will be sent to Arduino, and the vehicle will be controlled using Arduino output. Based on the drowsiness and the alcohol level of the driver. The sensor will sense the level of drowsy time of sleep and the alcohol sensor defects the consumption of alcohol from the driver if it exceeds the specific value, turn ON buzzer and lock the automobile. Then we reduce the maximum accidents by drunken driving and drowsiness.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Drowsiness And Alcohol Detection with Engine Locking\",\"authors\":\"Avagaddi Prasad, Janapamula Pavankalyan, Alapati Sai Ganesh, Kakileti Murali Krishna\",\"doi\":\"10.1109/C2I456876.2022.10051464\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At present days most accidents happening caused by drunken driving and Drowsiness. These accidents are increasing deaths and economic losses. The cause of drowsiness is continuous driving for long distances and stress levels in working places is reduced in sleeping then it leads to sleep driving. To control these types of accidents, we are implementing this model, in this model blink sensors and M Q3 alcohol sensors are used. The blink and alcohol sensors output will be sent to Arduino, and the vehicle will be controlled using Arduino output. Based on the drowsiness and the alcohol level of the driver. The sensor will sense the level of drowsy time of sleep and the alcohol sensor defects the consumption of alcohol from the driver if it exceeds the specific value, turn ON buzzer and lock the automobile. Then we reduce the maximum accidents by drunken driving and drowsiness.\",\"PeriodicalId\":165055,\"journal\":{\"name\":\"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/C2I456876.2022.10051464\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/C2I456876.2022.10051464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Drowsiness And Alcohol Detection with Engine Locking
At present days most accidents happening caused by drunken driving and Drowsiness. These accidents are increasing deaths and economic losses. The cause of drowsiness is continuous driving for long distances and stress levels in working places is reduced in sleeping then it leads to sleep driving. To control these types of accidents, we are implementing this model, in this model blink sensors and M Q3 alcohol sensors are used. The blink and alcohol sensors output will be sent to Arduino, and the vehicle will be controlled using Arduino output. Based on the drowsiness and the alcohol level of the driver. The sensor will sense the level of drowsy time of sleep and the alcohol sensor defects the consumption of alcohol from the driver if it exceeds the specific value, turn ON buzzer and lock the automobile. Then we reduce the maximum accidents by drunken driving and drowsiness.