Nicolo' Fantasia
Develop a self-sufficient system capable of detecting people’s physiological parameters during Search and Rescue (SAR) missions.
Rel. Massimo Violante, Jacopo Sini, Luigi Pugliese. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2025
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Abstract
The main objective of this thesis is to develop a self-sufficient system capable of detecting people’s physiological parameters during Search and Rescue (SAR) missions. Specifically, we focused on creating a battery-powered device capable of counting the number of people in an image and extracting physiological parameters rate using the remote photoplethys mography (RPPG) technique. The goal is to integrate this system into a rover or a drone, allowing an operator to control it remotely. In the first part of the study, we focused on hardware selection. It was necessary to identify a sufficiently powerful board capable of handling the computational load of the program while being lightweight, compact, and with low power to allow it to operate on battery.
For this reason, we chose the Raspberry Pi 5
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