基于物联网的访客检测系统的开发

Hyoung-Ro Lee, Chi-Ho Lin, Won-Jong Kim
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引用次数: 8

摘要

本文提出了一种基于物联网的访客检测系统。它使用一个红外传感器来检测人体,两个超声波传感器来定位访问者伺服电机下的位置。当检测到访客时,驱动摄像头模块对访客进行定位。重新编码的视频和传感器数据存储在数据库中。保存的数据可以通过PC和智能设备查看。我们使用树莓Pi2和传感器模块开发了系统来验证这个概念。它可以跟踪游客的移动路线,最大限度地减少摄像机的盲点。并且传感器数据和重新编码的视频在互联网上检查所有可能的远程位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an IoT-based visitor detection system
In this paper, we proposed an IoT-based visitor detection system. It uses an IR sensor to detect human body and two ultrasonic sensors to locate visitor servo motor under the position. When a visitor is detected it drives camera module to locate the visitor. Recoded video and sensor data are stored in the Database. Saved data can see via the PC and Smart device. We developed the system using Raspberry Pi2 and sensor modules to verify the concept. It can track the visitor moving route and minimize the blind spots of the camera. And sensor data and recoded video are checked internet possible all remote location.
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