A new IoT combined body detection of people by using computer vision for security application

N. A. Othman, I. Aydin
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引用次数: 36

Abstract

In recent years, the security constitutes the most important section of our lives. Automation of a home is an exciting field for security applications. This area has developed with new technologies like Internet of things (IoT). In IoT, each device behaves as a small part of an internet node and each node communicate and interact. Currently, security cameras are used in order to construct safety areas, cities, and homes. The camera records the images and, when a problem occurs, the problem is detected by monitoring the old record. In this study, an IoT-based system is combined with computer vision in order to detect the people. A Raspberry PI 3 card with the size of a credit card was used for this purpose. A motion is detected by the PIR sensor mounted on the Raspberry PI. PIR sensor helps to monitor and get alerts when movement is detected. Afterward, human is detected in the captured image and sends images to a Smartphone by using telegram application.
一种新的物联网结合人体检测,利用计算机视觉进行安全应用
近年来,安全构成了我们生活中最重要的部分。对于安防应用来说,家庭自动化是一个令人兴奋的领域。这一领域随着物联网(IoT)等新技术的发展而发展。在物联网中,每个设备都是互联网节点的一小部分,每个节点都进行通信和交互。目前,安全摄像头被用于建设安全区域、城市和家庭。摄像机记录图像,当出现问题时,通过监控旧记录来检测问题。在本研究中,基于物联网的系统与计算机视觉相结合,以检测人。为此使用了一张信用卡大小的树莓派3卡。运动是由安装在树莓派上的PIR传感器检测到的。PIR传感器有助于监测并在检测到运动时获得警报。然后,在拍摄的图像中检测出人类,并通过电报应用程序将图像发送到智能手机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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