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IoT Enabled Intelligent Sensor Node for Smart City: Pedestrian Counting and Ambient Monitoring

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...

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Detalles Bibliográficos
Autores principales: Akhter, Fowzia, Khadivizand, Sam, Siddiquei, Hasin Reza, Alahi, Md Eshrat E., Mukhopadhyay, Subhas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6696396/
https://www.ncbi.nlm.nih.gov/pubmed/31374837
http://dx.doi.org/10.3390/s19153374
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author Akhter, Fowzia
Khadivizand, Sam
Siddiquei, Hasin Reza
Alahi, Md Eshrat E.
Mukhopadhyay, Subhas
author_facet Akhter, Fowzia
Khadivizand, Sam
Siddiquei, Hasin Reza
Alahi, Md Eshrat E.
Mukhopadhyay, Subhas
author_sort Akhter, Fowzia
collection PubMed
description 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 (CO(2)) 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.
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spelling pubmed-66963962019-09-05 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 Sensors (Basel) Article 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 (CO(2)) 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. MDPI 2019-08-01 /pmc/articles/PMC6696396/ /pubmed/31374837 http://dx.doi.org/10.3390/s19153374 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Akhter, Fowzia
Khadivizand, Sam
Siddiquei, Hasin Reza
Alahi, Md Eshrat E.
Mukhopadhyay, Subhas
IoT Enabled Intelligent Sensor Node for Smart City: Pedestrian Counting and Ambient Monitoring
title IoT Enabled Intelligent Sensor Node for Smart City: Pedestrian Counting and Ambient Monitoring
title_full IoT Enabled Intelligent Sensor Node for Smart City: Pedestrian Counting and Ambient Monitoring
title_fullStr IoT Enabled Intelligent Sensor Node for Smart City: Pedestrian Counting and Ambient Monitoring
title_full_unstemmed IoT Enabled Intelligent Sensor Node for Smart City: Pedestrian Counting and Ambient Monitoring
title_short IoT Enabled Intelligent Sensor Node for Smart City: Pedestrian Counting and Ambient Monitoring
title_sort iot enabled intelligent sensor node for smart city: pedestrian counting and ambient monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6696396/
https://www.ncbi.nlm.nih.gov/pubmed/31374837
http://dx.doi.org/10.3390/s19153374
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