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Thingspeak Based Monitoring IoT System for Counting People in A Library

机译:基于Thingspeak的图书馆人数监控物联网系统。

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In this study, a real-time system which counts the number of people with the help of a camera was demonstrated. The system can send the number of people to a mobile application via Internet of Things (IoT) and monitor simultaneously. This work is carried out in the main library of Inonu University. Background subtraction method was used to recognize moving humans on the visual field of the camera. According to motion information of humans, a counter was used to count the number of people in the saloon by determining whether going inside or outside. The counter will inform the users about what percentage of the saloon is empty. Matlab and Thingspeak combination help to send counter information to internet environment. A mobile application was used to track the counter information from Android and iOS smartphones. The results were presented in Matlab environment and mobile application simultaneously. Thanks to this work, students will not have to look for a place to work when the library is crowded and will not bother other working students. It is believed that this project will serve all students.
机译:在这项研究中,展示了一种实时系统,该系统借助摄像头对人数进行计数。该系统可以通过物联网(IoT)将人数发送到移动应用程序并同时进行监控。这项工作在Inonu大学的主图书馆中进行。背景减法用于识别摄像机视野中的移动人员。根据人类的运动信息,使用一个计数器通过确定是进入室内还是室外来对轿车中的人数进行计数。计数器将通知用户有关轿车空置率的百分比。 Matlab和Thingspeak的组合有助于将计数器信息发送到Internet环境。使用移动应用程序跟踪来自Android和iOS智能手机的计数器信息。结果同时在Matlab环境和移动应用程序中显示。由于这项工作,当图书馆拥挤时,学生将不必寻找工作场所,也不会打扰其他在职学生。相信该项目将为所有学生服务。

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