Login

WIFI-based Crowd Safety System

MA
State: Assigned to Nicolas Spielmann

The widespread adoption of mobile devices allows services based on an indoor positioning system to be implemented [1]. Understanding your customers and their behaviors is a key point of a company. The analysis of wireless signals emitted by portable devices such as smartphones, laptops, and tablets enables the extraction of positional data from those devices. In public locations, security measures such as emergency routes can be enhanced by analyzing crowd behavior.

The idea of this thesis it to provide an implementation of a real-time crowd monitoring system to ensure physical distancing in crowds using WIFI sensors. The advantages of using WiFi sensors is that it offers a significantly more cost-effective for wide area coverage than comparable systems (for example, a camera-based crowd monitoring solution). Also, it is significantly easier to install and configure than comparable systems (for example, a camera-based crowd monitoring solution).

Henceforth, this thesis involves answering challenges (which can be adjusted depending on the type of thesis - BA/MA/MP) such as:

Tasks on an engineering aspect demands:

 

20% Design, 70% Implementation, 10% Documentation
Python

Supervisors: Bruno Rodrigues

back to the main page