Proposing artificial neural network models and libraries Python in vehicle identification via Video for teaching Artificial Intelligence at university level

Abstract

This article focuses on the application of artificial neural networks to build applications to identify people and vehicles through video devices, to support traffic monitoring and management systems. smart in urban areas. With the rapid increase in traffic and the need for security control, smart identification systems not only help reduce traffic congestion and minimize accidents but also play an important role in surveillance activities and public safety supervision. The research team's content also uses the Python programming language and specialized libraries such as TensorFlow and OpenCV, combining modern methods in computer vision to build image and video recognition applications that serve for smart traffic.