{"title":"An Emergency Rescue Framework through Smart IoT LPWAN","authors":"K. Jain, Hemant Kumar Saini","doi":"10.1109/InCACCT57535.2023.10141728","DOIUrl":null,"url":null,"abstract":"with the emerging population vehicle are expanding on a streets in the present reality. Because of the deficient rescue administrations, expanded street traffic, street accidents are broadening that lead to loss of lives and property. Such outcomes results in the demise rate per year, which becomes a serious issue in supporting human existence. Notwithstanding, vehicles are implanted with pattern innovation, however the accident count will rise day by day because of such delays in communicating the data to the concerned individual or to protect group. This paper will introduce the different LoRa (Long range) design with low power utilization. Cloud technology is used for accident detection and emergency ambulance transportation from the scene of the unplanned tragedy to the closest hospital where emergency healthcare can be delivered. Likewise, emergency data can be shipped off the cloud right away, and its response in alarming the environmental elements and telling the proper clinic. The proposed model fabricated a compelling brilliant vehicular framework involving GPS for distinguishing the accident spot and getting to the scene early and impact sensors for identifying hindrances","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/InCACCT57535.2023.10141728","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
with the emerging population vehicle are expanding on a streets in the present reality. Because of the deficient rescue administrations, expanded street traffic, street accidents are broadening that lead to loss of lives and property. Such outcomes results in the demise rate per year, which becomes a serious issue in supporting human existence. Notwithstanding, vehicles are implanted with pattern innovation, however the accident count will rise day by day because of such delays in communicating the data to the concerned individual or to protect group. This paper will introduce the different LoRa (Long range) design with low power utilization. Cloud technology is used for accident detection and emergency ambulance transportation from the scene of the unplanned tragedy to the closest hospital where emergency healthcare can be delivered. Likewise, emergency data can be shipped off the cloud right away, and its response in alarming the environmental elements and telling the proper clinic. The proposed model fabricated a compelling brilliant vehicular framework involving GPS for distinguishing the accident spot and getting to the scene early and impact sensors for identifying hindrances