基于物联网的集群住宅安防系统图像采集的设计与实现

Muhamad Arief Aryadi, M. Galina
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引用次数: 0

摘要

一些研究人员已经将物联网平台的性能应用于各种范围,如门、车库和房屋大门。对大门住宅集群实施物联网平台,用于进出大门。拥有一个互动系统,向居民发送访客的图像,以及操作自动大门是这个作品的三个主要特点。利用Arduino板与MATLAB和Arduino与Blynk的互连实现了这三个功能。本工作描述了其创建的整个过程,从硬件需求,到系统的设计,再到仿真测试的运行过程。从模拟测试来看,设备与来访访客的交互时间平均为1.33秒,播放的语音准确率为100%,在响应授权的时间为1.56秒,拒绝授权的时间为1.39秒内,将图像发送给100%合适的对应居民。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of Image Capture for Cluster Housing Security System Based on IoT
The performance of IoT platforms to security systems has been implemented by some researchers in various scopes such as door, garage, and house gates. Implementing an IoT platform to the gate residential cluster is performed for entering and exiting the gate. Having an interactive system, sending an image of the visitor to the resident, and operating an automatic gate are three main features developed in this work. Using Arduino board to MATLAB and Arduino to Blynk interconnections is implemented to perform those three features. This work describes the entire process of its creation from hardware requirements, through the system's design, up to the simulation test from the running process. From the simulation test, the device can interact with the incoming visitor within 1.33 seconds on average, with the accuracy of the played voice being 100% correct, and the image sent to the 100% proper corresponding resident is done within the time taken to respond to permission granted is 1.56 seconds, while the permission denied takes 1.39 seconds.   
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