(Ai) Urban Counter

URBAN MOBILITY COUNTER

SYNTROPY in collaboration with Salvador Calgua develops an urban mobility counting model based on Artificial Intelligence. AI Counter performs a count of different classes (types) of urban mobility: Pedestrians, Vehicles, Bicycles, Buses, Trucks, Dogs and Skateboards.

The different classes (types) of urban mobility: Pedestrians, Vehicles, Bicycles, Buses, Trucks, Dogs and Skateboards.

13 de Octubre, 2020

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28 de Septiembre, 2020

7 de Septiembre, 2020

As part of Syntropy's collaboration with #LaNuevaMovilidad, several count pilots have been developed in different municipalities of the Panchoy Valley and Almolonga.

Video provided by the Municipality of Pastores where Syntropy enters to collaborate in the generation of the count of the type of mobility in the sector.

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20 de Agosto, 2020

Video taken from the Guatemala City terminal, implementing the class identification and counting system.

The artificial intelligence algorithm identifies the type (class) of moving object and then quantifies the number of objects according to their class moving in a specific territory. In times of COVID-19, it is complex to displace people to perform these counts, so we propose to do counts using the current camera infrastructure.

Aim:

Carry out a count of urban mobility classes on the cycle-pedestrian routes established in 3 times: t0, t1 and t2.

  • t0 - is carried out prior to municipal intervention, which establishes the baseline.

  • t1 - during the implementation of the project between the Municipality and #LaNuevaMovilidad.

  • t2 - date established to measure the adoption of the active mobility strategy.

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