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People Counting in the Times of Covid-19

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Service-Oriented Computing – ICSOC 2022 Workshops (ICSOC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13821))

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Abstract

Estimating the number of people within a public building with multiple entrances is an interesting problem, especially when limitations on building occupancy hold as during the Covid-19 pandemic. In this article, we illustrate the design, prototyping and assessment of an open-source distributed Cloud-IoT service that performs such a task and detects crowd formation via EdgeAI, also accounting for privacy and security concerns. The service is deployed and thoroughly assessed over a low-cost Fog infrastructure, showing an average accuracy of 94%.

Work partly supported by project GIÒ: a Fog computing testbed for research & Education funded by the Department of Computer Science, University of Pisa, Italy.

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Notes

  1. 1.

    Open-sourced at: https://github.com/di-unipi-socc/GPC-MonitoringUnit.

  2. 2.

    Available at: https://docs.openvino.ai/latest/index.html.

  3. 3.

    Open-sourced at: https://github.com/di-unipi-socc/GPC-PeopleCounterService.

  4. 4.

    Available at: https://github.com/openvinotoolkit/open_model_zoo/.

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Authors and Affiliations

  1. Department of Computer Science, University of Pisa, Pisa, Italy

    E. Maione, S. Forti & A. Brogi

Authors
  1. E. Maione
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  2. S. Forti
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  3. A. Brogi
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Corresponding author

Correspondence to S. Forti .

Editor information

Editors and Affiliations

  1. University of Malaga, Málaga, Spain

    Javier Troya

  2. Politecnico di Milano, Milano, Italy

    Raffaela Mirandola

  3. University of Castilla-La Mancha, Albacete, Spain

    Elena Navarro

  4. University of the Republic, Montevideo, Uruguay

    Andrea Delgado

  5. University of Seville, Sevilla, Spain

    Sergio Segura

  6. University of Cádiz, Cádiz, Spain

    Guadalupe Ortiz

  7. Faculty of Informatics, Universita della Svizzera Italiana, Lugano, Switzerland

    Cesare Pautasso

  8. Karlsuhe Institute of Technology, Karlsruhe, Germany

    Christian Zirpins

  9. University of Seville, Seville, Spain

    Pablo Fernández

  10. ISA, Universidad de Sevilla, Sevilla, Spain

    Antonio Ruiz-Cortés

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Maione, E., Forti, S., Brogi, A. (2023). People Counting in the Times of Covid-19. In: Troya, J., et al. Service-Oriented Computing – ICSOC 2022 Workshops. ICSOC 2022. Lecture Notes in Computer Science, vol 13821. Springer, Cham. https://doi.org/10.1007/978-3-031-26507-5_16

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  • DOI: https://doi.org/10.1007/978-3-031-26507-5_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-26506-8

  • Online ISBN: 978-3-031-26507-5

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