Sanjay S Tippannavar, Y. D, Chandrashekar Murthy B N, P. S
{"title":"IoT enabled Smart Car with V2X Enhanced Comunication and Safety Alert system","authors":"Sanjay S Tippannavar, Y. D, Chandrashekar Murthy B N, P. S","doi":"10.1109/ICRTEC56977.2023.10111919","DOIUrl":null,"url":null,"abstract":"This work conducted makes four-wheeled driving safer than ever before to prevent accidents from becoming an unforeseen and unexpected occurrence, despite the rise in the number of motorcycle riders and accidents in our nation. Because of the dramatic ending. The main cause of fatality in half of all traffic accidents is a delay in receiving care. The initiative intends to enable early accident detection and to quickly provide information to emergency personnel, enabling them to give the wounded individual urgent aid. In the event that a passenger is involved in an accident and the helmet strikes the ground, the vibrating sensor included into the helmet detects a vibration and sends the value to the raspberry pi module fastened to it. Even if the vibration threshold frequency exceeds the cap, the gearsing board extracts GPS data from the GPS module, and an alert message with all the relevant information is promptly transmitted to the registered passenger emergency contacts. With the help of this software, the accident victim will get prompt aid. Particular danger regions are shown by the findings.","PeriodicalId":217375,"journal":{"name":"2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTEC56977.2023.10111919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This work conducted makes four-wheeled driving safer than ever before to prevent accidents from becoming an unforeseen and unexpected occurrence, despite the rise in the number of motorcycle riders and accidents in our nation. Because of the dramatic ending. The main cause of fatality in half of all traffic accidents is a delay in receiving care. The initiative intends to enable early accident detection and to quickly provide information to emergency personnel, enabling them to give the wounded individual urgent aid. In the event that a passenger is involved in an accident and the helmet strikes the ground, the vibrating sensor included into the helmet detects a vibration and sends the value to the raspberry pi module fastened to it. Even if the vibration threshold frequency exceeds the cap, the gearsing board extracts GPS data from the GPS module, and an alert message with all the relevant information is promptly transmitted to the registered passenger emergency contacts. With the help of this software, the accident victim will get prompt aid. Particular danger regions are shown by the findings.