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

Başer, EkremAltun, Yusuf2020-04-302020-04-302017978-1-5386-0440-3https://hdl.handle.net/20.500.12684/3066Scientific Meeting on Electric Electronics, Computer Science, Biomedical Engineerings (EBBT) -- APR 20-21, 2017 -- Istanbul Arel Univ, Istanbul, TURKEYALTUN, Yusuf/0000-0002-2099-0959WOS: 000413686600006Number 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.trinfo:eu-repo/semantics/closedAccessneural networkcar classificationClassification of Vehicles in Traffic and Detection Faulty Vehicles by Using ANN TechniquesConference ObjectN/A