Abstract
We tackle the issue of measuring and analyzing the visitors’ dynamics in crowded museums. We propose an IoT-based system – supported by artificial intelligence models – to reconstruct the visitors’ trajectories throughout the museum spaces. Thanks to this tool, we are able to gather wide ensembles of visitors’ trajectories, allowing useful insights for the facility management and the preservation of the art pieces. Our contribution comes with one successful use case: the Galleria Borghese in Rome, Italy.
Original language | English |
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Title of host publication | 2019 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2019 |
Publisher | IMEKO-International Measurement Federation Secretariat |
Pages | 423-428 |
Number of pages | 6 |
ISBN (Electronic) | 9789299008454 |
Publication status | Published - 1 Jan 2019 |
Event | 2019 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2019 - Florence, Italy Duration: 4 Dec 2019 → 6 Dec 2019 |
Conference
Conference | 2019 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2019 |
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Country/Territory | Italy |
City | Florence |
Period | 4/12/19 → 6/12/19 |
Keywords
- BLE
- Bluetooth
- Data acquisition
- Floor usage
- Museums
- Pedestrian behaviour