Developing an IoT based Mass Crowd Management System Reviewing Existing Methodologies

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI:10.1109/IPRECON55716.2022.10059484

Apoorva Choudhury, Surya Saravanan Mudaliar, Amogh Hatkar, Harshit Singh, Washima Tasnin

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Abstract

This work revolves around proper handling and monitoring of crowds at big events like concerts and public gatherings. To ensure appropriate management of the crowd at these events, a system is proposed and designed. The system consists of a series of modules namely a RFID based identification system for entry of only registered audience and a blood oxygen level and heart rate measurement unit which utilizes MAX30100 sensor to further check the health conditions. Along with these, an ultrasonic technology-based proximity monitoring unit (HC-SR04 module) is used to ensure the fulfilment of social distancing norms. This multi-module crowd management and monitoring system is tested in real-time and the results are verified based on physical response as well as with the help of serial monitor values. The modules for this system are initially constructed on Fritzing, then implemented in real-life. The ThingSpeak platform and Arduino IDE are used to store the data and program the micro-controllers (Arduino and NodeMCU) respectively.

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开发基于物联网的大众人群管理系统，回顾现有方法

这项工作围绕着在音乐会和公共集会等大型活动中正确处理和监控人群展开。为了确保对这些活动中的人群进行适当的管理，我们提出并设计了一个系统。该系统由一系列模块组成，即基于RFID的仅供注册观众进入的识别系统，以及利用MAX30100传感器进一步检查健康状况的血氧水平和心率测量单元。除此之外，还使用了基于超声波技术的接近监测单元(HC-SR04模块)，以确保实现社交距离规范。对该多模块人群管理监控系统进行了实时测试，并根据身体反应和串口监测值对测试结果进行了验证。该系统的模块最初是在Fritzing上构建的，然后在现实生活中实现。使用ThingSpeak平台和Arduino IDE分别存储数据和对微控制器(Arduino和NodeMCU)进行编程。

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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2022 IEEE International Power and Renewable Energy Conference (IPRECON)

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