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

Authors

  • Mohamed Muftah Eljhani Department of Computer Engineering, Faculty of Engineering, University of Tripoli

Keywords:

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

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.

Author Biography

Mohamed Muftah Eljhani , Department of Computer Engineering, Faculty of Engineering, University of Tripoli

Dr. Eljhani is faculty member with a demonstrated history of working in the higher education. Skilled in the area of high level synthesis of advanced digital systems and digital integrated circuit design with FPGA using Verilog Hardware Description Language, for more than 25 years both in the academics and industries. Now teaching Computer Engineering courses at Department of Computer Engineering, University of Tripoli. Strong education professional with a Ph.D. focused in Computer Engineering from Florida Institute of Technology, a M.Sc. focused in Computer Sciences from Florida Institute of Technology, and a M.Sc. focused in Computer Engineering from Beijing University of Aeronautics & Astronautics. 

العدد 36 سبتمبر 2023 لمجلة البحوث الهندسية- كلية الهندسة جامعة طرابلس

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Published

2023-09-30 — Updated on 2024-05-22

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How to Cite

Mohamed Muftah Eljhani , M. M. E. . (2024). AN INTELLIGENT DENSITY-BASED TRAFFIC SYSTEM WITH LIBYAN VEHICLES LICENSE PLATE RECOGNITION ON FPGA . Journal of Engineering Research, 18(36), 17. Retrieved from http://uot.edu.ly/journals/index.php/jer/article/view/1102 (Original work published September 30, 2023)

Issue

Vol. 18 No. 36 (2023): مجلة البحوث الهندسية

Section

Articles
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