Measurement and analysis of visitors’ trajectories in crowded museums

Pietro Centorrino, Alessandro Corbetta, Emiliano Cristiani, Elia Onofri

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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 languageEnglish
Title of host publication2019 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2019
PublisherIMEKO-International Measurement Federation Secretariat
Pages423-428
Number of pages6
ISBN (Electronic)9789299008454
Publication statusPublished - 1 Jan 2019
Event2019 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2019 - Florence, Italy
Duration: 4 Dec 20196 Dec 2019

Conference

Conference2019 IMEKO TC4 International Conference on Metrology for Archaeology and Cultural Heritage, MetroArchaeo 2019
Country/TerritoryItaly
CityFlorence
Period4/12/196/12/19

Funding

∗Results presented in this paper are achieved under the project Management of flow of visitors inside the Galleria Borghese in Rome, supported by Ministry of Cultural Heritage and Activities and Tourism, Galleria Borghese, and Istituto per le Applicazioni del Calcolo of National Research Council of Italy. Project’s Principal Investigators are Marina Minozzi (Galleria Borghese) and Roberto Natalini (IAC-CNR). E. Cristiani also acknowledges the Italian Minister of Instruction, University and Research to support this research with funds coming from PRIN Project 2017 No. 2017KKJP4X entitled Innovative numerical methods for evolutionary partial differential equations and applications. A. Corbetta also acknowledges the support of the Talent Scheme (Veni) research programme, through project number 16771, which is financed by the Netherlands Organization for Scientific Research (NWO).

Keywords

  • BLE
  • Bluetooth
  • Data acquisition
  • Floor usage
  • Museums
  • Pedestrian behaviour

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