{"title":"Smart Mirror Using Raspberry Pi for Human Monitoring and Intrusion Detection","authors":"Raju A. Nadaf, R. M, Sujata P, Vasudha M. Bonal","doi":"10.1109/ICAIT47043.2019.8987294","DOIUrl":null,"url":null,"abstract":"The demand for latest technology is rising and there by changing the way the world lives. The impact of technology is so heavy on our lives that, we are surrounded by technology filled equipments. Ranging from smart home to smart cities, everything is turning to smart. The ease of life and comfort zone also increasing with the advancement of technology. Hence, the proposed model, The Smart Mirror is a system in which the normal mirror will behave like a smart device. The Smart mirror is designed using Raspberry Pi-3 model and a touch enabled screen. The designed system is having two modes of operation namely regular mode and the triggered mode. In regular mode, it will act like a normal mirror and in triggered mode, the mirror will act like a smart mirror, which will capable of accepting commands and displays the results on the screen. There are three ways in which commands can be issued to the Smart mirror namely Voice, Touch and Mobile controlled commands. The system displays weather, temperature and latest news on the mirror. The system is primarily designed for the purpose of Human Monitoring and also Intrusion Detection. The proposed design is an interactive system and is made as a package bundled with maximum possible features, which not only just displays information over screen, but also can be used for providing security. The system is built using hardware units like Raspberry Pi-3 model, microphone, touch screen, mobile device, camera and PIR (Passive Infrared Sensor) sensors and programming coded in Python language. The Human Intrusion detection and Human Monitoring is implemented using Yolo Machine learning technique with OpenCV.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Advances in Information Technology (ICAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIT47043.2019.8987294","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 demand for latest technology is rising and there by changing the way the world lives. The impact of technology is so heavy on our lives that, we are surrounded by technology filled equipments. Ranging from smart home to smart cities, everything is turning to smart. The ease of life and comfort zone also increasing with the advancement of technology. Hence, the proposed model, The Smart Mirror is a system in which the normal mirror will behave like a smart device. The Smart mirror is designed using Raspberry Pi-3 model and a touch enabled screen. The designed system is having two modes of operation namely regular mode and the triggered mode. In regular mode, it will act like a normal mirror and in triggered mode, the mirror will act like a smart mirror, which will capable of accepting commands and displays the results on the screen. There are three ways in which commands can be issued to the Smart mirror namely Voice, Touch and Mobile controlled commands. The system displays weather, temperature and latest news on the mirror. The system is primarily designed for the purpose of Human Monitoring and also Intrusion Detection. The proposed design is an interactive system and is made as a package bundled with maximum possible features, which not only just displays information over screen, but also can be used for providing security. The system is built using hardware units like Raspberry Pi-3 model, microphone, touch screen, mobile device, camera and PIR (Passive Infrared Sensor) sensors and programming coded in Python language. The Human Intrusion detection and Human Monitoring is implemented using Yolo Machine learning technique with OpenCV.