Intelligent Door Controller Using Deep Learning-Based Network Pruned Face Recognition

P. Das, Nurul A. Asif, M. Hasan, S. H. Abhi, Mehtar Jahin Tatha, Swarnali Deb Bristi
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Abstract

Nowadays, our home is designed with various technologies which have increased our living comfort and offering more flexibility. Installing various technology in our Home makes it a smart home and we also call this installation process Home Automation. The popularity of Home Automation systems is increasing rapidly and it develops the quality of living. Home automation offers automatic light, fan, temperature, etc. control and also an automatic alarming system to alert the people, etc. Already there are various techniques have been used for implementing Home Automation. Here, in this paper, an intelligent door controller, an application of home automation is presented by using deep learning techniques. An intelligent door basically opens automatically and closes after a predefined time based on the person coming in front of the door. If a person is known then the door will be opened and after his/her entrance the door will be closed automatically. And if the person is not known then the door will remain closed. Here to identify the person, the person’s face is recognized by using deep learning. As well ass, Arduino and Servo motors are used to control the door opening or closing.
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基于深度学习网络的人脸识别智能门控制器
如今,我们的家采用了各种技术来设计,这些技术增加了我们的生活舒适度,并提供了更多的灵活性。在我们的家中安装各种技术使其成为智能家居,我们也称这种安装过程为家庭自动化。家庭自动化系统的普及程度越来越高,它提高了人们的生活质量。家庭自动化提供自动灯光、风扇、温度等控制,还有一个自动报警系统来提醒人们等。已经有各种各样的技术被用于实现家庭自动化。本文介绍了一种利用深度学习技术在家庭自动化中的应用——智能门控制器。智能门基本上是根据来到门前的人在预先设定的时间后自动打开和关闭。如果有人被认出,门将被打开,在他/她进入后,门将自动关闭。如果不认识这个人,门就会一直关着。在这里识别人,人的脸是通过使用深度学习来识别的。同时使用Arduino和伺服电机控制门的开启或关闭。
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