Privacy-Preserved Social Distancing System Using Low-Resolution Thermal Sensors and Deep Learning

Aisha Fahad Alraeesi, Hanan Fekri Kharbash, Jawaher Saif Alghfeli, Shamma Sultan Alsaedi, Munkhjargal Gochoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The COVID-19 pandemic brought drastic changes to daily routines and abiding by the guideline for social distancing is necessary to prevent the spread of the virus while easing back to normality. While camera-based social distancing solutions are widely available, they do not preserve the privacy of the user. To the best of our knowledge, there is no practical privacy-preserved social distancing technology in the market. This research employs IoT and Deep Learning to implement an indoor privacy-preserved social distancing wireless sensor network-based system that uses 8×8 low-resolution infrared sensors (AMG8833) to promote social distancing within companies and organizations. This research uses four top view wireless sensor nodes to collect a total of 6,606 low-resolution infrared images, creating a dataset that covers 200 cases of varying numbers of people in diverse locations. The YOLOv4-tiny model achieved a mAP@0.5 of 95.4% and an inference time of 5.16ms when trained on the collected and labeled dataset to detect people. Thus, we conclude that our proposed novel social distancing system is as effective as other solutions that use high-resolution images while maintaining privacy.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages66-71
Number of pages6
ISBN (Electronic)9781665442077
DOIs
Publication statusPublished - 2021
Event2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021 - Melbourne, Australia
Duration: Oct 17 2021Oct 20 2021

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021
Country/TerritoryAustralia
CityMelbourne
Period10/17/2110/20/21

Keywords

  • AMG8833
  • Human localization
  • infrared sensors
  • privacy-preserved
  • smart office
  • unobtrusive
  • YOLO

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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