Techedge is undergoing experimental studies on IoT and signal processing equipment, in order to create Machine Learning (ML) and Artificial Intelligence (AI) applications to analyze data coming from fan devices based on technology developed by the SMARTFAN partners.
The goal of these studies is to find the best architectural solution (both hardware and software) to achieve the IoT implementation and data analysis at is best. In this direction several IoT devices (as Arduino Nano/Uno and Microsoft Sphere) and edge computing hardware (as nVidia Jetson platform) are being testing to realize a fully operational pipeline, from data acquisition to ML and AI applications. These efforts are towards the creation of energy saving and predictive maintenance applications, which combined with the new material developed by the SMARTFAN partners could activate a “quantum leap” in these fields.

In addition, currently, a collaboration with the SmartFan partner ELICA is going on in order to examine the best experimental setup propaedeutic to acquire the physical signals coming from their devices. These signals will be the core of the AI applications that are being designed, giving insights on how to properly separate the noise from the signal to be processed.