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In this study, a system has been developed to analyze mobility of human populations that walks through a certain location. In this study, the aim is to detect the human traffic and density in a specific location. We achieved this goal by capturing and analyzing Wi-Fi packets without exceeding the GDPR limitations. Using the ESP8266 microcontroller card, the Wi-Fi (Wireless Fidelity) traffic in the coverage area was monitored. By collecting the MAC (Media Access Control) header part of the captured IEEE 802.11 packets, AP (Access Point) devices and STA (Station) devices in the environment were determined. The MAC addresses of the determined STA devices were stored and sent to the CloudBased API (Application Programming Interface) over a Wi-Fi network. The vendor of the hardware was also identified and stored in the database. Thanks to the developed management panel, crowds walking over a certain location can be analyzed based on Daily, Weekly, Monthly or between the specific interval. Also, Device Number / Vendor and Device Number / Time graphs were plotted.

Nesnelerin interneti teknolojileri kullanılarak Wi-Fi MAC Adresi tabanlı insan toplulukları izleme ve analiz sistemi