Developing an IoT based Mass Crowd Management System Reviewing Existing Methodologies
3rd IEEE International Power and Renewable Energy Conference, IPRECON 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2255045
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. © 2022 IEEE.
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
3rd IEEE International Power and Renewable Energy Conference, IPRECON 2022
Year:
2022
Document Type:
Article
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