Smart City Gnosys

Smart city article details

Title	Development Of An Application For Recognizing Automobile Vehicles
ID_Doc	19636
Authors	Kataev G.; Shabley A.; Vaulin S.
Year	2020
Published	2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020
DOI	http://dx.doi.org/10.1109/FarEastCon50210.2020.9271500
Abstract	In modern cities, a busy traffic is an acute problem. Therefore, road monitoring should become an essential feature of smart cities. The possible approach to car traffic control is the usage of neural networks. In this article, we consider the usability of this approach for the detection and classification of city traffic. The developed application is based on the convolutional neural network of the YOLOv3 system. With the testing data set of 750 images, the trained neural network showed an accuracy of 76%. © 2020 IEEE.
Author Keywords	convolutional neural network; surveillance data; traffic analysis; traffic flow estimation; vehicle detection; YOLOv3

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