Maria Giulia Canu
Mixed Real-Time Visualization Framework for FGB IoT sensors.
Rel. Bartolomeo Montrucchio, Andrea Sanna. Politecnico di Torino, Master of science program in Computer Engineering, 2019
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Abstract
The objective of this thesis is to design one of the first mixed real-time visualization frameworks for Fibre Bragg Grating (FBG) sensors, and it is an improvement of a previously developed framework created as a general open source tool for any FBG-based IoT system. Its integration is justified by the lack of mixed real-time monitoring tools for those sensors in literature. The project was developed in collaboration with the DAUIN, DIMEAS and DISAT department of Politecnico di Torino, as part of the Inter-Departmental Center for Photonic technologies (PhotoNext). The framework is divided into two different applications developed with Unity3D engine, one for desktop system and another one for the Microsoft Hololens headset.
Both allow to fully customize the position and rotation of the sensors and their size on its surface
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