People Counting in the Times of Covid-19
Workshops on ASOCA, AI-PA, FMCIoT, WESOACS 2022, held in Conjunction with the 20th International Conference on Service-Oriented Computing, ICSOC 2022
; 13821 LNCS:196-208, 2023.
Article
in English
| Scopus | ID: covidwho-2270434
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%. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Workshops on ASOCA, AI-PA, FMCIoT, WESOACS 2022, held in Conjunction with the 20th International Conference on Service-Oriented Computing, ICSOC 2022
Year:
2023
Document Type:
Article
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