{"title":"Development of Voice-Instructed Smart Fire Alarm Using Arduino and IoT Functionality","authors":"Hyunseo An","doi":"10.56557/jobari/2024/v30i28661","DOIUrl":null,"url":null,"abstract":"Fires can destroy and cause significant damage to property and human life. Fires break out unexpectedly, anywhere, and at any time, and it is essential to get accurate information on fire causes to minimize casualties. Therefore, it is imperative to set an alarm appropriately. Traditional fire alarms sound simply noisy without much guiding detail. Sometimes, building occupants even escape toward the flames. In this study, an intelligent Arduino system was created for a verbal guide with more precise information. It informed the location, sources of fire, and seriousness while alarming the fire department through the email alert system. The self-surveyed scoring tests demonstrated that our voice-instructed smart fire system was significantly informative and superior in the aspects of audibility, intelligibility, reliability, and acceptability, compared to the traditional fire alarm systems. At the same time, further study might be necessary to develop more effective fire alarms.","PeriodicalId":479863,"journal":{"name":"Journal of Basic and Applied Research International","volume":"14 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Basic and Applied Research International","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.56557/jobari/2024/v30i28661","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
Fires can destroy and cause significant damage to property and human life. Fires break out unexpectedly, anywhere, and at any time, and it is essential to get accurate information on fire causes to minimize casualties. Therefore, it is imperative to set an alarm appropriately. Traditional fire alarms sound simply noisy without much guiding detail. Sometimes, building occupants even escape toward the flames. In this study, an intelligent Arduino system was created for a verbal guide with more precise information. It informed the location, sources of fire, and seriousness while alarming the fire department through the email alert system. The self-surveyed scoring tests demonstrated that our voice-instructed smart fire system was significantly informative and superior in the aspects of audibility, intelligibility, reliability, and acceptability, compared to the traditional fire alarm systems. At the same time, further study might be necessary to develop more effective fire alarms.