P. Netinant, Auttapon Amatyakul, Meennapa Rukhiran
{"title":"Alert Intruder Detection System Using Passive Infrared Motion Detector based on Internet of Things","authors":"P. Netinant, Auttapon Amatyakul, Meennapa Rukhiran","doi":"10.1145/3520084.3520112","DOIUrl":null,"url":null,"abstract":"The Internet of Things (IoT) is a new paradigm that connects the Internet and physical objects across a range of industries, including home automation, industrial processes, human health, and environmental monitoring. It raises the significance of Internet-connected devices in our daily lives, bringing a flood of benefits and concerns about security. For decades, home intruder detection systems have been an integral part of home security systems. However, implementing intruder motion detection techniques is difficult due to the IoT's unique characteristics, such as resource-constrained devices. In this study, we offer a prototype for an Internet of Things-based home intruder detection system. Our objective is to discover areas for development and practice, as well as research opportunities and concerns. Additionally, we examined several choices for each attribute, including aspects of passive infrared motion detector works that suggest unique methods for home invader motion detectors on the Internet of Things. Detail aspects of passive infrared motion detector work range a home intruder motion-detecting schemes. The primary evaluation of the passive infrared motion detector system was conducted to evaluate functional detection. The system can do daily motion detection work automatically—it provides intruder detection in a variety of distances and angles of circumstances and location monitoring.","PeriodicalId":444957,"journal":{"name":"Proceedings of the 2022 5th International Conference on Software Engineering and Information Management","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th International Conference on Software Engineering and Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3520084.3520112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The Internet of Things (IoT) is a new paradigm that connects the Internet and physical objects across a range of industries, including home automation, industrial processes, human health, and environmental monitoring. It raises the significance of Internet-connected devices in our daily lives, bringing a flood of benefits and concerns about security. For decades, home intruder detection systems have been an integral part of home security systems. However, implementing intruder motion detection techniques is difficult due to the IoT's unique characteristics, such as resource-constrained devices. In this study, we offer a prototype for an Internet of Things-based home intruder detection system. Our objective is to discover areas for development and practice, as well as research opportunities and concerns. Additionally, we examined several choices for each attribute, including aspects of passive infrared motion detector works that suggest unique methods for home invader motion detectors on the Internet of Things. Detail aspects of passive infrared motion detector work range a home intruder motion-detecting schemes. The primary evaluation of the passive infrared motion detector system was conducted to evaluate functional detection. The system can do daily motion detection work automatically—it provides intruder detection in a variety of distances and angles of circumstances and location monitoring.