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http://dx.doi.org/10.6109/jkiice.2022.26.4.612

An Analysis of Wi-Fi Probe Request for Crowd Counting through MAC-Address classification  

Oppokhonov, Shokirkhon (Research & Development Center, ZEROWEB)
Lee, Jae-Hyun (ZEROWEB)
Moon, Jun-young (Research & Development Center, ZEROWEB)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.4, 2022 , pp. 612-623 More about this Journal
Abstract
Estimation of the presence of people in real time is extremely useful for businesses in providing better services. Many companies and researchers have attempted various researches in order to count the number of floating population in a specific space. Recently, as part of smart cities and digital twins, commercialization of measuring floating populations using Wi-Fi signals has become active in the public and private sectors. In this paper we present a method of estimating the floating population based on MAC-address values collected from smartphones. By distinguishing Real MAC-address and Random MAC-address values, we compare the estimated number of smartphone devices and the actual number of people caught on CCTV screens to evaluate the accuracy of the proposed method. And it appeared to have a similar correlation between the two datas. As a result, we present a method of estimating the floating population based on analyzing Wi-Fi Probe Requests.
Keywords
Wi-Fi Probe Request; Real MAC; Random MAC; People Counting; Crowd Counting;
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