S. Gupta, Kashish Sharma, Nihar Salvekar, Akshay Gajra
{"title":"Implementation of Alcohol and Collision Sensors in a Smart Helmet","authors":"S. Gupta, Kashish Sharma, Nihar Salvekar, Akshay Gajra","doi":"10.1109/ICNTE44896.2019.8945979","DOIUrl":null,"url":null,"abstract":"The introduction of Electronic Stability Control and other features have made cars much ahead and safer than before. The concept of Smart Helmet aims to provide the same for Bikes. With features like built-in Black Box, GPS logging which will keep track of the rider's location and can be accessed in case of emergency. A collision sensor will alert in case the rider meets with an accident and or is drunken driving. The helmet makes use of ATMega32u4 with AI Thinker's A7 GSM-GPS module for GPS logging, collision sensing and sending emergency SMS. The helmet also features an Alcohol sensor which will act as a breath-analyser and send a help messages to the registered phone numbers along with the rider's location. The Black-Box built on Raspberry Pi will help in analysing the cause of accident. The footage of the accident will be recorded automatically in case the rider meets with an accident. It will provide a safer travel for bikers and help them in case of an emergency.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNTE44896.2019.8945979","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
The introduction of Electronic Stability Control and other features have made cars much ahead and safer than before. The concept of Smart Helmet aims to provide the same for Bikes. With features like built-in Black Box, GPS logging which will keep track of the rider's location and can be accessed in case of emergency. A collision sensor will alert in case the rider meets with an accident and or is drunken driving. The helmet makes use of ATMega32u4 with AI Thinker's A7 GSM-GPS module for GPS logging, collision sensing and sending emergency SMS. The helmet also features an Alcohol sensor which will act as a breath-analyser and send a help messages to the registered phone numbers along with the rider's location. The Black-Box built on Raspberry Pi will help in analysing the cause of accident. The footage of the accident will be recorded automatically in case the rider meets with an accident. It will provide a safer travel for bikers and help them in case of an emergency.