{"title":"人脸识别在智能家居中的应用与发展","authors":"Seree Khunchai, C. Thongchaisuratkrul","doi":"10.1109/ICPEI49860.2020.9431473","DOIUrl":null,"url":null,"abstract":"This paper presents the application design and facial recognition for a smart home system, which is easy to use, having a security system, a low cost, and a home appliance voice control. It also includes face recognition system to authenticate each user and alert when the intruder access in the house. Moreover, home appliances can be monitoring and controlled with a smartphone application. The main components of the systems are ESP8266 microcontroller, Arduino UNO, PIR Sensor, LDR Sensor, temperature Sensor (DHT11), voice recognition module, face recognition module, Android / iOS application and service platform on NETPIE. In the study, it was found that face recognition can work well if the user's face is less than a meter from the camera. And more accurate by increased the number of user images.","PeriodicalId":342582,"journal":{"name":"2020 International Conference on Power, Energy and Innovations (ICPEI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Development of Application and Face Recognition for Smart Home\",\"authors\":\"Seree Khunchai, C. Thongchaisuratkrul\",\"doi\":\"10.1109/ICPEI49860.2020.9431473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the application design and facial recognition for a smart home system, which is easy to use, having a security system, a low cost, and a home appliance voice control. It also includes face recognition system to authenticate each user and alert when the intruder access in the house. Moreover, home appliances can be monitoring and controlled with a smartphone application. The main components of the systems are ESP8266 microcontroller, Arduino UNO, PIR Sensor, LDR Sensor, temperature Sensor (DHT11), voice recognition module, face recognition module, Android / iOS application and service platform on NETPIE. In the study, it was found that face recognition can work well if the user's face is less than a meter from the camera. And more accurate by increased the number of user images.\",\"PeriodicalId\":342582,\"journal\":{\"name\":\"2020 International Conference on Power, Energy and Innovations (ICPEI)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Power, Energy and Innovations (ICPEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPEI49860.2020.9431473\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Power, Energy and Innovations (ICPEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEI49860.2020.9431473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of Application and Face Recognition for Smart Home
This paper presents the application design and facial recognition for a smart home system, which is easy to use, having a security system, a low cost, and a home appliance voice control. It also includes face recognition system to authenticate each user and alert when the intruder access in the house. Moreover, home appliances can be monitoring and controlled with a smartphone application. The main components of the systems are ESP8266 microcontroller, Arduino UNO, PIR Sensor, LDR Sensor, temperature Sensor (DHT11), voice recognition module, face recognition module, Android / iOS application and service platform on NETPIE. In the study, it was found that face recognition can work well if the user's face is less than a meter from the camera. And more accurate by increased the number of user images.
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