Session

Computer Science and Communication Engineering

Description

This paper presents a comprehensive exploration into the application of AI-powered algorithms for car plate detection, focusing specifically on Kosovo plate recognition. Employing Convolutional Neural Network (CNN) architecture, we meticulously train our model over a finite number of epochs, continuously evaluating accuracy and loss metrics to gauge performance enhancements. Leveraging forward and backpropagation techniques during training, our model progressively refines its ability to discern critical features. Through iterative refinement, our model achieves a commendable level of accuracy, underscoring the efficacy of AI-driven methodologies in the domain of car plate detection.

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-15-3

Start Date

25-10-2024 9:00 AM

End Date

27-10-2024 6:00 PM

DOI

10.33107/ubt-ic.2024.390

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Oct 25th, 9:00 AM Oct 27th, 6:00 PM

AI-Powered Algorithms in Car Plate Detection: A Case Study on Kosovo Plate Recognition

This paper presents a comprehensive exploration into the application of AI-powered algorithms for car plate detection, focusing specifically on Kosovo plate recognition. Employing Convolutional Neural Network (CNN) architecture, we meticulously train our model over a finite number of epochs, continuously evaluating accuracy and loss metrics to gauge performance enhancements. Leveraging forward and backpropagation techniques during training, our model progressively refines its ability to discern critical features. Through iterative refinement, our model achieves a commendable level of accuracy, underscoring the efficacy of AI-driven methodologies in the domain of car plate detection.