P. Ilampiray, A. Thilagavathy, Challa Sai Hari Uma Sahith, Penumathsa Girish Sai Varma, Bhuvanendra Chowdary V, M. Dhanush
{"title":"An Ingenious Deep Learning Approach for Home Automation using Tensorflow Computational Framework","authors":"P. Ilampiray, A. Thilagavathy, Challa Sai Hari Uma Sahith, Penumathsa Girish Sai Varma, Bhuvanendra Chowdary V, M. Dhanush","doi":"10.1109/ICEARS56392.2023.10084944","DOIUrl":null,"url":null,"abstract":"Home Automation has become an important part nowadays. Home automation and the Internet of Things are becoming popular because automatic systems are preferred by most people. Life has become easier with automation. The emerging technologies like Machine Learning (ML) and Deep Learning (DL) play a major role in home automation. Nowadays there is a tremendous growth of mobile devices. But with machine learning systems, there is an increasing demand for smartphone applications. This paper focuses on an interactive mobile application that can control household electronic devices such as fans, AC, light, Television, etc., with the help of on-device machine learning and the Internet of Things. The proposed machine-learning algorithm automatically detects the type of device in just a photo-scan and performs the basic operations.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEARS56392.2023.10084944","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
Home Automation has become an important part nowadays. Home automation and the Internet of Things are becoming popular because automatic systems are preferred by most people. Life has become easier with automation. The emerging technologies like Machine Learning (ML) and Deep Learning (DL) play a major role in home automation. Nowadays there is a tremendous growth of mobile devices. But with machine learning systems, there is an increasing demand for smartphone applications. This paper focuses on an interactive mobile application that can control household electronic devices such as fans, AC, light, Television, etc., with the help of on-device machine learning and the Internet of Things. The proposed machine-learning algorithm automatically detects the type of device in just a photo-scan and performs the basic operations.