Traffic Sign Detection And Classification
dc.Affiliation | October University for modern sciences and Arts (MSA) | |
dc.contributor.author | Michelle Hanna, Abanoub | |
dc.date.accessioned | 2021-01-27T07:27:09Z | |
dc.date.available | 2021-01-27T07:27:09Z | |
dc.date.issued | 2020 | |
dc.description | Faculty Of Computer Science Graduation Project 2019 - 2020 | en_US |
dc.description.abstract | The goal of this project is to build, modify, and make improvements in part of autonomous cars brain design to obtain stable ad safe drive by detecting the traffic signs that is very important topic in driving and in autonomous cars. The project used convolutional neural network techniques that help us in solving our problem of classifying and localization. The aim of this project was to build an application with high accuracy and reliable with helping of the deep learning tools to get a high speed for test and taking the decision. | en_US |
dc.description.sponsorship | Ahmed Farouk | en_US |
dc.identifier.citation | Copyright © 2020 MSA University. All Rights Reserved. | en_US |
dc.identifier.uri | http://repository.msa.edu.eg/xmlui/handle/123456789/4393 | |
dc.language.iso | en | en_US |
dc.publisher | MSA university Faculty of Computer Science | en_US |
dc.relation.ispartofseries | Faculty Of Computer Science Graduation Project 2019 - 2020; | |
dc.subject | جامعة أكتوبر للعلوم الحديثة والآداب | en_US |
dc.subject | October university for modern sciences and arts | en_US |
dc.subject | University of Modern Sciences and Arts | en_US |
dc.subject | MSA University | en_US |
dc.subject | Traffic Sign | en_US |
dc.subject | Detection | en_US |
dc.title | Traffic Sign Detection And Classification | en_US |
dc.type | Other | en_US |