Classification of Vehicles in Traffic and Detection Faulty Vehicles by Using ANN Techniques

dc.contributor.authorBaşer, Ekrem
dc.contributor.authorAltun, Yusuf
dc.date.accessioned2020-04-30T22:40:49Z
dc.date.available2020-04-30T22:40:49Z
dc.date.issued2017
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionScientific Meeting on Electric Electronics, Computer Science, Biomedical Engineerings (EBBT) -- APR 20-21, 2017 -- Istanbul Arel Univ, Istanbul, TURKEYen_US
dc.descriptionALTUN, Yusuf/0000-0002-2099-0959en_US
dc.descriptionWOS: 000413686600006en_US
dc.description.abstractNumber of vehicles in use worldwide per person and depending on this traffic accidents increase day by day. Until today, various studies have been made on detection of the faulty vehicles in traffic. This study; in accordance with this purpose, is realized in order to recognize, classify vehicles on a photo or video that captured on a autoban or road which has two lanes and detect faulty ones between them by using ANN(Artificial Neural Network) and image processing techniques. In this system that developed by using Convolutional Neural Network, the vehicles can be recognized, classified according to their vehicle types and faulty vehicles can be detected with drawing a frame around them.en_US
dc.description.sponsorshipIEEE Turkey Sect, IEEE EMB, IEEEen_US
dc.identifier.isbn978-1-5386-0440-3
dc.identifier.urihttps://hdl.handle.net/20.500.12684/3066
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (Ebbt)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectneural networken_US
dc.subjectcar classificationen_US
dc.titleClassification of Vehicles in Traffic and Detection Faulty Vehicles by Using ANN Techniquesen_US
dc.typeConference Objecten_US

Dosyalar