IoT enabled intelligent sensor node for smart city: pedestrian counting and ambient monitoring

Fowzia Akhter, Sam Khadivizand, Hasin Reza Siddiquei, Md Eshrat E. Alahi, Subhas Mukhopadhyay

Research output: Contribution to journalArticleResearchpeer-review

Abstract

An Internet of Things (IoT) enabled intelligent sensor node has been designed and developed for smart city applications. The fabricated sensor nodes count the number of pedestrians, their direction of travel along with some ambient parameters. The Field of View (FoV) of Fresnel lens of commercially available passive infrared (PIR) sensors has been specially tuned to monitor the movements of only humans and no other domestic animals such as dogs, cats etc. The ambient parameters include temperature, humidity, pressure, Carbon di Oxide (CO2) and total volatile organic component (TVOC). The monitored data are uploaded to the Internet server through the Long Range Wide Area Network (LoRaWAN) communication system. An intelligent algorithm has been developed to achieve an accuracy of 95% for the pedestrian count. There are a total of 74 sensor nodes that have been installed around Macquarie University and continued working for the last six months.

LanguageEnglish
Article number3374
Pages1-19
Number of pages19
JournalSensors (Basel, Switzerland)
Volume19
Issue number15
DOIs
Publication statusPublished - 1 Aug 2019

Fingerprint

Sensor nodes
Internet
counting
Monitoring
sensors
Domestic Animals
Humidity
Oxides
Lenses
Cats
Carbon
Wide area networks
Communication
Dogs
wide area networks
Pressure
Fresnel lenses
Temperature
dogs
cats

Bibliographical note

Copyright the Author(s) 2019. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • intelligent sensor
  • the direction of travel
  • ambient monitoring
  • smart city

Cite this

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IoT enabled intelligent sensor node for smart city : pedestrian counting and ambient monitoring. / Akhter, Fowzia; Khadivizand, Sam; Siddiquei, Hasin Reza; Alahi, Md Eshrat E.; Mukhopadhyay, Subhas.

In: Sensors (Basel, Switzerland), Vol. 19, No. 15, 3374, 01.08.2019, p. 1-19.

Research output: Contribution to journalArticleResearchpeer-review

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