Diego Gasco
Enhancing Crowd-Monitoring Through WiFi Fingerprint Analysis.
Rel. Claudio Ettore Casetti, Paolo Giaccone. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
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Abstract
The proliferation of smartphones, IoT devices, and other modern technologies has transformed cities into interconnected ecosystems, generating vast amounts of data. Accurately estimating crowds and counting people has become crucial for urban planners, transportation managers, and security agencies. By leveraging real-time data from various sources, decision-makers can optimize resource allocation, enhance security measures, improve customer experiences, and create more efficient urban environments. Capturing and analyzing network traffic has emerged as a valuable method for accurately estimating people's presence in specific areas. WiFi and Bluetooth are the two main types of signals that can be inspected, with WiFi being the preferred option for privacy reasons.
WiFi Probe Requests, emitted by devices when they search for available WiFi networks, provide valuable data on the number and movement of people in specific areas
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