Page 35 - Smart tourism: A path to more secure and resilient destinations

4�1�4�3�2 Main characteristics
• Location of flow cycles throughout a site
(with the volume of users by areas) and of
hot/cold spots to avoid crowding.

• Alerts based on traffic data or capacity
prediction criteria in each study area during
specific time slots.
• Generation of alternative routes and
itineraries for visitors depending on
the degree of affluence such as visits to
museums, cultural centres.

4.1.4.4 Face mask usage control

4�1�4�4�1 Description

Artificial vision solution integrated in the CCTV
system that allows, through the training of
algorithms, to detect infractions related to the
protection measures established for each case
(e.g., use of masks, gloves).

4�1�4�4�2 Main characteristics

• Generation of real-time alerts to identify the area or geographical area where the incident is
occurring through integration with the CCTV system.

• Generation of automated action protocols such as public address announcements, launching
of work orders to safety personnel.
• Ability to offer supplementary information such as capacity control, social distancing, queue
management, by training additional algorithms leveraging the existing infrastructure.

4.1.4.5 Tourist pattern analysis

4�1�4�5�1 Description
Analysing visitor behaviour to secure insights for better marketing strategies that increase the
productivity of the space and increase demand.

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