Traffic Sign Detection And Classification

dc.AffiliationOctober University for modern sciences and Arts (MSA)  
dc.contributor.authorMichelle Hanna, Abanoub
dc.date.accessioned2021-01-27T07:27:09Z
dc.date.available2021-01-27T07:27:09Z
dc.date.issued2020
dc.descriptionFaculty Of Computer Science Graduation Project 2019 - 2020en_US
dc.description.abstractThe 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.sponsorshipAhmed Farouken_US
dc.identifier.citationCopyright © 2020 MSA University. All Rights Reserved.en_US
dc.identifier.urihttp://repository.msa.edu.eg/xmlui/handle/123456789/4393
dc.language.isoenen_US
dc.publisherMSA university Faculty of Computer Scienceen_US
dc.relation.ispartofseriesFaculty Of Computer Science Graduation Project 2019 - 2020;
dc.subjectجامعة أكتوبر للعلوم الحديثة والآدابen_US
dc.subjectOctober university for modern sciences and artsen_US
dc.subjectUniversity of Modern Sciences and Artsen_US
dc.subjectMSA Universityen_US
dc.subjectTraffic Signen_US
dc.subjectDetectionen_US
dc.titleTraffic Sign Detection And Classificationen_US
dc.typeOtheren_US

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