dc.contributor | Santos, Max Mauro Dias | |
dc.contributor | Santos, Max Mauro Dias | |
dc.contributor | Carvalho, Marcelo Vasconcelos de | |
dc.contributor | Martins, Marcella Scoczynski Ribeiro | |
dc.creator | Baroni, Rafael Becker | |
dc.date.accessioned | 2020-11-19T19:51:20Z | |
dc.date.accessioned | 2022-12-06T14:36:16Z | |
dc.date.available | 2020-11-19T19:51:20Z | |
dc.date.available | 2022-12-06T14:36:16Z | |
dc.date.created | 2020-11-19T19:51:20Z | |
dc.date.issued | 2018-12-11 | |
dc.identifier | BARONI, Rafael Becker. Metodologia para controle de semáforos utilizando processamento de imagens para reconhecimento da quantidade de carros. 2018. 91 f. Trabalho de Conclusão de Curso (Bacharelado em Engenharia Mecânica) - Universidade Tecnológica Federal do Paraná, Ponta Grossa, 2018. | |
dc.identifier | http://repositorio.utfpr.edu.br/jspui/handle/1/16279 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/5252399 | |
dc.description.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. | |
dc.publisher | Universidade Tecnológica Federal do Paraná | |
dc.publisher | Ponta Grossa | |
dc.publisher | Brasil | |
dc.publisher | Departamento Acadêmico de Mecânica | |
dc.publisher | Engenharia Mecânica | |
dc.publisher | UTFPR | |
dc.rights | openAccess | |
dc.subject | Trânsito - Sinais e sinalização | |
dc.subject | Processamento de imagens | |
dc.subject | Trânsito - Congestionamento | |
dc.subject | Trânsito - Fluxo | |
dc.subject | Traffic signs and signals | |
dc.subject | Image processing | |
dc.subject | Traffic congestion | |
dc.subject | Traffic flow | |
dc.title | Metodologia para controle de semáforos utilizando processamento de imagens para reconhecimento da quantidade de carros | |
dc.type | bachelorThesis | |