S. Kavitha, Safreen, Padmasree, Niskriyaa, Keerthana
{"title":"Human Safety and Vehicle Speed Controlling using Internet of Things (IoT)","authors":"S. Kavitha, Safreen, Padmasree, Niskriyaa, Keerthana","doi":"10.1109/ICECAA58104.2023.10212192","DOIUrl":null,"url":null,"abstract":"People require transportation to move from one place to another place nowadays. As the population expands, so does transportation across the country. Despite the high demand for vehicles, the number of accidents are increasing due to the lack of safety precautions. Moreover, major accidents occur for two-wheeler drivers because two-wheelers lack safety precautions that four-wheelers have. Many research studies that are conducted recently to determine the cause of accidents concluded that driving recklessly in crowded areas causes road accidents. The major goal of this research work is to minimize the road accidents and prevent road accidents while ensuring driver safety. The proposed model enhances human safety while driving is by employing Arduino UNO and IoT. The vehicle will only start if the driver wears helmet and not intoxicated. To track the vehicle's current location, GPS module is used. To avoid accidents due to vehicle overspeed, the speed of vehicle is continuously monitored. In a particular zone, the driver will be alerted to reduce the speed.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECAA58104.2023.10212192","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
People require transportation to move from one place to another place nowadays. As the population expands, so does transportation across the country. Despite the high demand for vehicles, the number of accidents are increasing due to the lack of safety precautions. Moreover, major accidents occur for two-wheeler drivers because two-wheelers lack safety precautions that four-wheelers have. Many research studies that are conducted recently to determine the cause of accidents concluded that driving recklessly in crowded areas causes road accidents. The major goal of this research work is to minimize the road accidents and prevent road accidents while ensuring driver safety. The proposed model enhances human safety while driving is by employing Arduino UNO and IoT. The vehicle will only start if the driver wears helmet and not intoxicated. To track the vehicle's current location, GPS module is used. To avoid accidents due to vehicle overspeed, the speed of vehicle is continuously monitored. In a particular zone, the driver will be alerted to reduce the speed.