Remote control of appliances based on Raspberry pi

2016 Second International Conference on Cognitive Computing and Information Processing (CCIP) Pub Date : 2016-08-01 DOI:10.1109/CCIP.2016.7802863

M. Rukmini, D. G. Gayathri Devi

{"title":"Remote control of appliances based on Raspberry pi","authors":"M. Rukmini, D. G. Gayathri Devi","doi":"10.1109/CCIP.2016.7802863","DOIUrl":null,"url":null,"abstract":"This paper describes regarding device of domestic appliances depends on humanoid application supported raspberry pi. In initial stage Home automation has been recalled associated an application has been developed within the and stage that is focused on the humanoid method. Mobile devices area unit glorious in providing a programme in an an exceedingly home automation approach. And will be ready to communicate with a home automation network via associate internet however ineffectual to instantly be to bear with devices within the network, as these devices in all probability place into impact low power consumption protocols almost like ZigBee, Wi-Fi etc. During this paper focuosed on dominant home appliances through humanoid gismo utilizing Wi-Fi as communication protocol further more as raspberry pi as server system. Programme has created for the humanoid gismo that permits for the user to stay connected with the Raspberry pi. The Raspberry pi doubtless to be interfaced with a relay card that controls the house instrumentation going for walks in residence. The buyer communicates with the corresponding relay.","PeriodicalId":354589,"journal":{"name":"2016 Second International Conference on Cognitive Computing and Information Processing (CCIP)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Conference on Cognitive Computing and Information Processing (CCIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIP.2016.7802863","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

Abstract

This paper describes regarding device of domestic appliances depends on humanoid application supported raspberry pi. In initial stage Home automation has been recalled associated an application has been developed within the and stage that is focused on the humanoid method. Mobile devices area unit glorious in providing a programme in an an exceedingly home automation approach. And will be ready to communicate with a home automation network via associate internet however ineffectual to instantly be to bear with devices within the network, as these devices in all probability place into impact low power consumption protocols almost like ZigBee, Wi-Fi etc. During this paper focuosed on dominant home appliances through humanoid gismo utilizing Wi-Fi as communication protocol further more as raspberry pi as server system. Programme has created for the humanoid gismo that permits for the user to stay connected with the Raspberry pi. The Raspberry pi doubtless to be interfaced with a relay card that controls the house instrumentation going for walks in residence. The buyer communicates with the corresponding relay.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

基于树莓派的电器远程控制

本文介绍了关于家电设备的仿人应用所支持的树莓派。在初始阶段，家庭自动化已经被召回，并在第二阶段开发了一个专注于人形方法的应用程序。移动设备领域的单元光荣地提供了一种非常家庭自动化的方案。并且将准备好通过关联互联网与家庭自动化网络进行通信，然而立即与网络中的设备进行通信是无效的，因为这些设备很可能会影响低功耗协议，几乎像ZigBee, Wi-Fi等。本文主要研究了以Wi-Fi为通信协议，以树莓派为服务器系统的人形gismo主导的家用电器。程序已经创建了人形gismo，允许用户与树莓派保持联系。树莓派毫无疑问要与一个中继卡接口，控制房子的仪器去散步在住宅。买方与相应的继电器通信。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2016 Second International Conference on Cognitive Computing and Information Processing (CCIP)

自引率

0.00%

发文量

期刊最新文献

Hilbert Huang transform based speech recognition An Integrated curvature and Convex Hull based concave point detection in Histopathological images Study of Complex-valued Learning algorithms for Post-surgery survival prediction Optimized Radial Basis Function Neural Network model for wind power prediction Early detection of grapes diseases using machine learning and IoT