When the new generation of self-driving cars is fully automated, it becomes crucial for the
vehicles to recognize the road signs that are prominently posted on the sides of roads in big …

In today's world, autonomous vehicles are given more assiduity in comparison with the ones
in previous years. The most significant feature which needs to be taken into rumination is the …

In this paper, the implementation of localizing and recognizing license plate in real time
environment with a neural network using a mobile device is described. The neural networks …

This study uses advanced computer vision (CV) and deep learning (DL) techniques to
present a combined approach for extensive vehicle detection and number plate recognition …

The number of vehicles on the roads is increasing in proportion to the economic revolution
and economic growth. Using a large number of vehicles will increase violations of the law …

The evolve of neural networks algorithm into deep learning convolutional neural networks
seems like the next generation for object detection. This algorithm works has a significantly …

Some problems that traffic managers face nowadays are traffic congestions in cities and
highways, which are main contributors to the number of traffic-accidents and the increasing …

Aim: Licence Plate detection is a challenging task as it plays a significant role in applications
like security and traffic control. To detect the number plate of the vehicles which violate the …

In this work, a day and night time vehicle detection system for traffic surveillance is
proposed. Our system is composed of two main processes, day time and night time …