Full Article:

This research aims to assess the usage of urban equipment, particularly children's playgrounds in public squares. It employs a prototype using a VGA camera connected to a Raspberry Pi equipped with image learning algorithms. The unit functions autonomously, from data collection to processing, revealing information about the patterns of space utilization. This information is synthesized into a comprehensive spatio-temporal activity map illustrating playground equipment activity. This visual representation offers actionable insights for urban managers, spotlighting underutilized areas and informing strategies to improve child-centered recreational facilities. Conducted in Balneário Camboriú, Santa Catarina, the prototype has successfully demonstrated its capability to capture and interpret data into relevant insights, the findings suggest that there are indications that the most frequently used equipment by children are those strategically located within the line of sight of adults.. Additionally, it highlighted that seating areas for accompanying adults are typically overcrowded, as adult behavior tends to be stationary compared to the more dynamic activity of children.