Otimização dos tempos de um semáforo por processamento de imagem e controladores

Abstract

This course completion work has as main objective to provide an improvement to the flow of traffic with the optimization of traffic light times, through a digital image processing application and controllers. So that it is possible to create intelligent traffic lights that can contribute to a better traffic in big cities. The whole system has a set of scripts that use the Python language and its specific modules to perform different functions, such as digitally processing an urban traffic video, analyzing the state of the road and determining its state as light, moderate, intense flow and finally, to perform the optimization of the green signal time of a certain semaphore.