BARROS, A. V.; http://lattes.cnpq.br/1751531085966614; BARROS, Abmael Vilar.
Resumen:
The design of smart cities assumes that public infrastructure systems such as energy, water,
highways, among other types, can be better designed, executed and managed from information
collected using integrated technology. Among the technologies that can be implemented, the
use of surveillance cameras is already a reality today. In many cities in Brazil and around the
world, the evaluation of the flow of vehicles on roads is carried out through the analysis of
video cameras. Therefore, it is possible to use artificial intelligence technology to automate this
analysis and thus assist managers in public policy decisionmaking.
In this work, an automated
form of vehicle flow analysis is presented, using a YOLO convolutional neural network to
analyze the number of vehicles traveling through a specific road, automatically counting each
type of vehicle in a given period.
