AN INTELLIGENT DENSITY-BASED TRAFFIC SYSTEM WITH LIBYAN VEHICLES LICENSE PLATE RECOGNITION ON FPGA

Lamia Atif Ali; Mohamed  Eljhani

doi:10.66411/jer.v36i.54

Authors

Lamia Atif Ali Department of Computer Engineering, Faculty of Engineering, University of Tripoli Author
Mohamed Muftah Eljhani Department of Computer Engineering, Faculty of Engineering, University of Tripoli Author

DOI:

https://doi.org/10.66411/jer.v36i.54

Keywords:

Density-Based Traffic Light System, Automated License Plate Recognition, Digital Image Processing, Machine Learning, Verilog Hardware Description Language, Field-Programmable Gate Array Design

Abstract

The main objective of this research is to develop, test, and deploy a real-time traffic light system based on traffic density, including red light violation detection and automatic Libyan license plate identification. To estimate traffic density, a set of infrared sensors mounted on each intersecting roadway is utilized. It prioritizes emergency vehicles using radio frequency identification technology. Using passive infrared sensors, the system detects red light violations and records the violating vehicle's picture, which is then passed to the automated license plate recognition system, which analyzes the image to localize the license plate region and recognize the numbers and characters. The proposed traffic light system is built, simulated, and tested on Cyclone IV GX field-programmable gate array using Verilog Hardware Description Language

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