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Bouattane, Omar
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Computer Science & IT Electrical & Electronics Engineering

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Multi-agent cloud based license plate recognition system Ben Laoula, El Mehdi; Elfahim, Omar; El Midaoui, Marouane; Youssfi, Mohamed; Bouattane, Omar
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i4.pp4590-4601

Abstract

This paper presents a multi-agent license plate recognition system, specifically designed to address the diverse and challenging nature of license plates. Utilizing a multi-agent architecture with agents operating in individual Docker containers and orchestrated by Kubernetes, the system demonstrates remarkable adaptability and scalability. It leverages advanced neural networks, trained on a comprehensive dataset, to accurately identify various license plate types under dynamic conditions. The system’s efficacy is showcased through its three-layered approach, encompassing data collection, processing, and result compilation, significantly outperforming traditional license plate recognition (LPR) systems. This innovation not only marks a technological leap in license plate recognition but also offers strategic solutions for enhancing traffic management and smart city infrastructure globally.
Co-Authors Ben Laoula, El Mehdi EL Midaoui, Marouane Elfahim, Omar Youssfi, Mohamed