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Article

Monitoring Indoor People Presence in Buildings Using Low-Cost Infrared Sensor Array in Doorways

Department of Electrical and Electronic Engineering, UdR CNIT, University of Cagliari, Via Marengo 2, 09123 Cagliari, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Riccardo Raheli, Luigi Atzori and Simone Borri
Sensors 2021, 21(12), 4062; https://doi.org/10.3390/s21124062
Received: 21 March 2021 / Revised: 24 May 2021 / Accepted: 10 June 2021 / Published: 12 June 2021
(This article belongs to the Special Issue Communications Signal Processing and Networking in the Pandemic)
We propose a device for monitoring the number of people who are physically present inside indoor environments. The device performs local processing of infrared array sensor data detecting people’s direction, which allows monitoring users’ occupancy in any space of the building and also respects people privacy. The device implements a novel real-time pattern recognition algorithm for processing data sensed by a low-cost infrared (IR) array sensor. The computed information is transferred through a Z-Wave network. On-field evaluation of the algorithm has been conducted by placing the device on top of doorways in offices and laboratory rooms. To evaluate the performance of the algorithm in varying ambient temperatures, two groups of stress tests have been designed and performed. These tests established the detection limits linked to the difference between the average ambient temperature and perturbation. For an in-depth analysis of the accuracy of the algorithm, synthetic data have been generated considering temperature ranges typical of a residential environment, different human walking speeds (normal, brisk, running), and distance between the person and the sensor (1.5 m, 5 m, 7.5 m). The algorithm performed with high accuracy for routine human passage detection through a doorway, considering indoor ambient conditions of 21–30 °C. View Full-Text
Keywords: people counter; pattern recognition; IR sensor array; Z-Wave people counter; pattern recognition; IR sensor array; Z-Wave
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MDPI and ACS Style

Perra, C.; Kumar, A.; Losito, M.; Pirino, P.; Moradpour, M.; Gatto, G. Monitoring Indoor People Presence in Buildings Using Low-Cost Infrared Sensor Array in Doorways. Sensors 2021, 21, 4062. https://doi.org/10.3390/s21124062

AMA Style

Perra C, Kumar A, Losito M, Pirino P, Moradpour M, Gatto G. Monitoring Indoor People Presence in Buildings Using Low-Cost Infrared Sensor Array in Doorways. Sensors. 2021; 21(12):4062. https://doi.org/10.3390/s21124062

Chicago/Turabian Style

Perra, Cristian, Amit Kumar, Michele Losito, Paolo Pirino, Milad Moradpour, and Gianluca Gatto. 2021. "Monitoring Indoor People Presence in Buildings Using Low-Cost Infrared Sensor Array in Doorways" Sensors 21, no. 12: 4062. https://doi.org/10.3390/s21124062

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