M. Varadharajan, S. Balaji, V. Ezhilarasan, A. Gowthaman
{"title":"Internet of Things based Natural Disaster Detection and Personalized Notification System","authors":"M. Varadharajan, S. Balaji, V. Ezhilarasan, A. Gowthaman","doi":"10.1109/ICAIS56108.2023.10073873","DOIUrl":null,"url":null,"abstract":"Consistently, normal and human-instigated catastrophes result in infrastructural hurt, monetary costs, emergencies, wounds, and passings. Worldwide environmental change conjointly fortifies the harming force of catastrophic events. during this unique circumstance, net of Things (IoT) based generally calamity discovery and reaction frameworks are wanted to deal with debacles and crises by up catastrophe location. Thusly, IoT gadgets are acclimated to gather data and working with to recognize contrasting sorts of normal and synthetic debacles. This study presents an overall framework with an assortment of sensors sight strange things. The significant qualification between this strategy and existing frameworks is the decentralized and customized cautioning framework. Here, the general information from the disaster recognized space can be obtained and with that information the people present in that space will be monitored and a caution notification regarding the calamity before evidence gets critical. This will be used as an early warning system in the event of the most unexpected events.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIS56108.2023.10073873","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
Consistently, normal and human-instigated catastrophes result in infrastructural hurt, monetary costs, emergencies, wounds, and passings. Worldwide environmental change conjointly fortifies the harming force of catastrophic events. during this unique circumstance, net of Things (IoT) based generally calamity discovery and reaction frameworks are wanted to deal with debacles and crises by up catastrophe location. Thusly, IoT gadgets are acclimated to gather data and working with to recognize contrasting sorts of normal and synthetic debacles. This study presents an overall framework with an assortment of sensors sight strange things. The significant qualification between this strategy and existing frameworks is the decentralized and customized cautioning framework. Here, the general information from the disaster recognized space can be obtained and with that information the people present in that space will be monitored and a caution notification regarding the calamity before evidence gets critical. This will be used as an early warning system in the event of the most unexpected events.