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2023 | OriginalPaper | Chapter

People Counting in the Times of Covid-19

Authors : E. Maione, S. Forti, A. Brogi

Published in: Service-Oriented Computing – ICSOC 2022 Workshops

Publisher: Springer Nature Switzerland

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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%.

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previous chapter Energy-Aware Placement of Network Functions in Edge-Based Infrastructures with Open Source MANO and Kubernetes

next chapter A Service-Oriented Middleware Enabling Decentralised Deployment in Mobile Multihop Networks

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

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

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

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

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Title: People Counting in the Times of Covid-19
Authors: E. Maione
S. Forti
A. Brogi
Publisher: Springer Nature Switzerland
Book: Service-Oriented Computing – ICSOC 2022 Workshops
Print ISBN: 978-3-031-26506-8

Electronic ISBN: 978-3-031-26507-5

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-031-26507-5_16

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