A COMPREHENSIVE ANALYSIS AND VARIOUS APPLICATIONS OF VEHICLE CLASSIFICATION USING DEEP LEARNING FROM THE PERSPECTIVE OF DHAKA CITY
Автор: Md.Saiful Islam, Md Sofiqul Islam
Организация: Presidency University
Категория:
Ключевые слова: Vehicles Detection, Deep-Learning, YOLO-V8, Traffic Surveillance, Security
Аннотация. Dhaka, the capital of Bangladesh, is a densely populated city, and the number of cars in the city is constantly increasing, resulting in additional traffic congestion on Dhaka's roads every day, as well as weak security measures, which are also creating many problems for the residents of this city. A classification system is very important for traffic management in Dhaka city, for safety purposes, urban planning and especially for identifying the number of vehicles plying on the road, which will be very helpful for civil engineers during road repairs or construction of new roads. For this classification system, we can collect classification videos of yellow5 vs yellow8 versions from different locations and classify them to know which version works best for which situation, since different types of vehicles ply on different roads in Bangladesh and which roads have more vehicles and which roads have less vehicles. We will analyze and review the obtained highway data sets, including their doming, as well as discuss future opportunities and challenges.
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