Web and Multimedia

Web and Multimedia Team

Rich Internet Applications for collective intelligence

The research is mainly conducted in Lab 2. The goal is to design and develop Rich and Intelligent Internet Applications, desktop and mobile, exploiting the possibilities of machine learning on big data, collective intelligence, user profiling and sensor information.

The team is composed by: Roberto Caldelli, Andrea Ferracani, Andrea Del Mastio, Daniele Pezzatini, Paolo Mazzanti, Giuseppe Becchi.


A smart mobile audio-guide

supported by: Regione Toscana

Our smart audio guide perceives the context and is able to interact with users: it performs automatic recognition of artworks, to enable a semi-automatic interaction with the wearer. The system is backed by a computer vision system capable to work in real-time on a mobile device, coupled with audio and motion sensors. The system has been deployed on a NVIDIA Jetson TK1 and a NVIDIA Shield Tablet K1, and tested in a real world environment (Bargello Museum of Florence).
Video available here.

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Tuscany Opera Search

TOP. Project co-financed by Regione Toscana
The aim of the TOP project is to create a software solution that allows to aggregate in a central database the bibliographic data of the catalogs of the Tuscan library networks.

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NEMECH – New Media for Cultural Heritage

Competence Center on Cultural Heritage

supported by: Regione Toscana

NEMECH is a Competence Centre on cultural heritage established by the Region of Tuscany and activated by MICC – University of Florence .

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Smartphone identification based on on-board sensors.

Funded by: Fondazione Cassa di Risparmio Firenze
The main project’s aim is to study and develop a methodology to identify mobile devices through the analysis and combination of signals coming from the various on-board sensors, aiming to extract a smartphone fingerprint which is univocal and distinctive of one specific device.

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