基于物联网的运动检测器使用树莓派小工具

Bartholomew Idoko, John Bush Idoko, Yusuf Zubair Mahmud Kazaure, Yahanasu Mohammed Ibrahim, Fatai A. Akinsola, Adereti Rasak Raji
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引用次数: 0

摘要

在本文中,我们设计了一个复杂的安全系统,可以监控特定区域(家庭或办公室)或特殊物质,评估场景中的事件。该系统使用树莓派2 B型、HC-SR501传感器、派相机、手机等小工具和基于机器学习的python源代码来实现,这些小工具的操作分别与短信和图像服务客户端(Nexmo和IMGUR)的操作相结合。这些小工具和服务的统一功能基本上是在场景中捕捉检测到的图像,并以短信的形式发送到注册的手机上。所提出的集成系统的精度很高,响应时间很低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoT Based Motion Detector Using Raspberry Pi Gadgetry
In this paper, we designed a sophisticated security system that monitors a particular region (home or office) or a distinguished substance, evaluating occurrences within the scene. The system is implemented using gadgetry such as raspberry pi 2 model B, HC-SR501 sensor, Pi camera, mobile phone and a machine learning based python source code integrating the operations of these gadgets with those of SMS and image service clients (Nexmo and IMGUR) respectively. The unified function of these gadgets and services is basically to capture detected image within the scene and send it to a registered mobile phone in form of text message. The accuracy and response time of the proposed integrated system are very high and very low respectively.
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