使用Tensorflow计算框架的家庭自动化巧妙的深度学习方法

P. Ilampiray, A. Thilagavathy, Challa Sai Hari Uma Sahith, Penumathsa Girish Sai Varma, Bhuvanendra Chowdary V, M. Dhanush
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引用次数: 0

摘要

家庭自动化已成为当今社会的重要组成部分。家庭自动化和物联网越来越受欢迎,因为大多数人更喜欢自动化系统。有了自动化,生活变得更容易了。机器学习(ML)和深度学习(DL)等新兴技术在家庭自动化中发挥着重要作用。如今,移动设备有了巨大的增长。但随着机器学习系统的出现,智能手机应用程序的需求越来越大。本文主要研究一种交互式移动应用程序,它可以通过设备上的机器学习和物联网来控制家用电子设备,如风扇、空调、灯、电视等。提出的机器学习算法在照片扫描中自动检测设备的类型并执行基本操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Ingenious Deep Learning Approach for Home Automation using Tensorflow Computational Framework
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.
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