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People transit monitoring using WiFi and Bluetooth signals with AI support

keywords ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, SENSORI, WI-FI

Reference persons CLAUDIO ETTORE CASETTI, PAOLO GIACCONE

Thesis type EXPERIMENTAL

Description The thesis consists in the collection and analysis of data from sensors capable of detecting the presence and / or passage of people through the Wi-Fi and Bluetooth signals generated by their smartphones. The sensors, on which the thesis is concerned, are installed in places with transit of people (for example, public buses). Using ML / AI techniques, we want to analyze the large volumes of data returned by the sensors, comparing them with experimentally observed data, in order to design techniques capable of determining with a certain degree of fidelity, the number of people present in the surrounding environment.

Required skills Linguaggi di programmazione: C e Python (opzionale). Tecniche di base di analisi dei dati, ML e AI.


Deadline 17/10/2021      PROPONI LA TUA CANDIDATURA




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