Metodologia para controle de semáforos utilizando processamento de imagens para reconhecimento da quantidade de carros

Abstract

The use of vehicles day by day has been increased every day that passes causing more logistics difficulties in the mean of time. This study relates especially with the internal logistics of the cities in the traffic light time optimization by applying cameras and image processing by deep learning, with the use of an enhancement algorithm, where can be verified the increase of the flows due the better distribution of the traffic light times.