Intelligent vehicle number plate recognition system using yolo for enhanced security in smart buildings

Kaim Khani, Muhammad Adnan and Usama, Muhammad and Shah, Abdul Salam and Shah, Asadullah and Abbas, Syed Hyder and Maqsood, Adil and Laghari, Asif Ali (2024) Intelligent vehicle number plate recognition system using yolo for enhanced security in smart buildings. Journal of ICT, Design, Engineering, and Technology Sciences, 8 (2). pp. 11-17. E-ISSN 2604-2673

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Abstract

The demand for advanced security solutions has increased with the continuous growth of urban infrastructure; hence, automated surveillance systems are vital across universities, hospitals, and commercial spaces. This project proposes an end-to-end Automatic Number Plate Recognition (ANPR) system to identify vehicle license plates by capturing high-speed images under optimal lighting conditions, isolating and analyzing plate characters, and translating the visual data into machine-readable text. By deploying these models on embedded systems, the system uses Convolutional Neural Networks (CNNs) and YOLO (You Only Look Once) for real-time object detection and recognition. The solution leverages the power of edge computing to achieve high performance and low latency for effective vehicle monitoring, data logging, and enhancing overall security infrastructure in buildings

Item Type:	Article (Journal)
Uncontrolled Keywords:	Automatic Number Plate Recognition (ANPR), Deep Learning, YOLO, Vehicle identification, Smart security systems
Subjects:	T Technology > T Technology (General) > T173.2 Technological change T Technology > TA Engineering (General). Civil engineering (General) > TA1001 Transportation engineering (General) T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1 Motor vehicles T Technology > TX Home economics > TX955 Building operation and maintenance
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Dr. Abdul Salam Shah
Date Deposited:	09 May 2025 11:26
Last Modified:	09 May 2025 11:26
URI:	http://irep.iium.edu.my/id/eprint/120912

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