People transit monitoring using WiFi and Bluetooth signals with AI support
Thesis in external company
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. The Thesis will be carried out in Dropper (www.dropper.ai).
Required skills Programming languages: C and Python. Basic Data Analysis Techniques, ML and AI.
Deadline 13/09/2023 PROPONI LA TUA CANDIDATURA