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Export Reference (APA) 
Mestre Santos, T., Marinheiro, R. N. & Brito e Abreu, F. (2023). Toolkit for implementing tourism crowd detection solutions.
Export Reference (IEEE) 
T. M. Santos et al.,  "Toolkit for implementing tourism crowd detection solutions",, 2023
Export BibTeX 
@techreport{santos2023_1764935079406,
	author = "Mestre Santos, T. and Marinheiro, R. N. and Brito e Abreu, F.",
	title = "Toolkit for implementing tourism crowd detection solutions",
	year = "2023",
	number = "",
	institution = "European Innovation Council and SMEs Executive Agency (EISMEA)",
	address = "",
	url = "https://github.com/resetting-eu/Crowding_Detection_STToolkit"
}
Export RIS 
TY  - RPRT
TI  - Toolkit for implementing tourism crowd detection solutions
AU  - Mestre Santos, T.
AU  - Marinheiro, R. N.
AU  - Brito e Abreu, F.
PY  - 2023
DO  - 10.5281/zenodo.12974515
UR  - https://github.com/resetting-eu/Crowding_Detection_STToolkit
AB  - This toolkit aims to facilitate the design of tourism crowd monitoring applications by providing an online tutorial (video and text content) for building crowd detectors and installing their control software (which will be made available on an open source repository), as well as configuration and deployment instructions. This type of application is particularly relevant for tourism SMEs that organise events for large groups of tourists, where they need to monitor the occupancy of the space where the event is taking place, either to ensure better space management of the participants (e.g. to redirect crowds to areas with lower occupancy), for security reasons (e.g. to for security reasons (e.g. to avoid tampering with exposed objects in a museum room), for health reasons (e.g. to avoid exceeding the maximum density of people allowed by health authorities in an event space to prevent contagion in times of pandemic), or simply for workforce management considerations (e.g. to calculate the expected time for evacuation of a concert arena to allow cleaning teams to proceed).
ER  -