{"title":"Smart Automatic Accident Detection & Information System","authors":"S. Rathor, Prateek Dubey, Shivam Samadhiya","doi":"10.1109/CISES54857.2022.9844371","DOIUrl":null,"url":null,"abstract":"Our lives have been made easier by the advancement of technology and infrastructure. The introduction of technology has also led to an increase in traffic risks and accidents on the road, resulting in significant loss of life and property due to inadequate emergency resources. This paper consists of a few automated devices that detect accidents and notify responsible person. This technology may be used to pinpoint the location of the accident, directing medical assistance there promptly. The system is equipped with an accelerometer, GPS, and a GSM module for message transmission. Accelerometers detect abrupt changes in the magnitude, acceleration, and speed of a vehicle’s axis. Additionally, a switch is provided to halt the transmission of a message in the unlikely event that there is no casualty; this can save the responsible person’s valuable time. The GSM module delivers an alert message to the mobile device informing it of the accident’s location. The location of the accident is indicated via a Google Maps link obtained from the GPS module’s latitude and longitude. After confirming the situation, essential actions will be done, which will aid in obtaining rescue assistance in a timely manner and so saving a precious human life. In addition to detecting alcoholic drivers and fires in vehicles, this paper can also produce alerts for those situations.","PeriodicalId":284783,"journal":{"name":"2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISES54857.2022.9844371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Our lives have been made easier by the advancement of technology and infrastructure. The introduction of technology has also led to an increase in traffic risks and accidents on the road, resulting in significant loss of life and property due to inadequate emergency resources. This paper consists of a few automated devices that detect accidents and notify responsible person. This technology may be used to pinpoint the location of the accident, directing medical assistance there promptly. The system is equipped with an accelerometer, GPS, and a GSM module for message transmission. Accelerometers detect abrupt changes in the magnitude, acceleration, and speed of a vehicle’s axis. Additionally, a switch is provided to halt the transmission of a message in the unlikely event that there is no casualty; this can save the responsible person’s valuable time. The GSM module delivers an alert message to the mobile device informing it of the accident’s location. The location of the accident is indicated via a Google Maps link obtained from the GPS module’s latitude and longitude. After confirming the situation, essential actions will be done, which will aid in obtaining rescue assistance in a timely manner and so saving a precious human life. In addition to detecting alcoholic drivers and fires in vehicles, this paper can also produce alerts for those situations.