Real-time people counting using IR-UWB radar

Kareeb Hasan, Malikeh Pour Ebrahim, Mehmet Rasit Yuce

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

COVID-19 pandemic has introduced social distance regulations which are crucial to be followed by. In order to maintain proper social distancing, it is critical to regulate the number of people in a closed space. In this paper, we propose a people counting system based on Impulse Radio Ultra-Wideband radars for counting people walking through a doorway. The system uses two IR-UWB radars placed horizontally apart to create a lag effect when someone walks by the radars. This enables detection of movement’s direction and subsequently, determination of the number of people in a room. The system proposed can be used for people counting in real-time and also on saved data which offers flexibility for real world applications. Several tests were conducted which shows the accuracy rate of system to be around 90%, validating the system. Contrary to conventional vision based people counting system, the proposed system is not limited by environmental factors such as light and also is privacy oriented.

Original languageEnglish
Title of host publicationBody Area Networks, Smart IoT and Big Data for Intelligent Health Management
Subtitle of host publication16th EAI International Conference, BODYNETS 2021 Virtual Event, October 25–26, 2021 Proceedings
EditorsMasood Ur Rehman, Ahmed Zoha
Place of PublicationCham Switzerland
PublisherSpringer
Pages63-70
Number of pages8
ISBN (Electronic)9783030955939
ISBN (Print)9783030955922
DOIs
Publication statusPublished - 2022
EventInternational Conference on Body Area Networks 2021 - Online, United States of America
Duration: 25 Dec 202126 Dec 2021
Conference number: 16th
https://link.springer.com/book/10.1007/978-3-030-95593-9 (Proceedings)

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
PublisherSpringer
Volume420 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

ConferenceInternational Conference on Body Area Networks 2021
Abbreviated titleBODYNETS 2021
Country/TerritoryUnited States of America
Period25/12/2126/12/21
Internet address

Keywords

  • COVID-19
  • Occupancy counter
  • People counting

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