IMPLEMENTATION OF AUTOMATIC LICENSE PLATE RECOGNITION SYSTEM WITH RASPBERRY PI
DOI:
https://doi.org/10.26906/SUNZ.2023.1.134Keywords:
license plate recognition system, machine learning algorithms, deep learning methods, convolutional neural networks, intelligent embedded systems, Raspberry PIAbstract
The object of study in the article is machine learning methods for automatic license plate recognition. The goal is to implement the system of automatic license plate recognition with Raspberry PI 4. The main tasks of this research are to analyse systems of automatic license plate recognition that implemented with capabilities of Raspberry PI and to implement own system. As a result of research of similar systems common problems were discovered and resolved. The developed system uses modern approach and technologies of artificial convolutional neural networks to solve occurred problems. It is important to note that the implemented system performs better than similar systems for large shooting angles. As a result of the work automatic license plate recognition system using Raspberry PI boards for intelligent embedded systems was implemented. Research has been conducted and the great potential of the proposed development has been revealed in environments where the speed of the system will not be critical.Downloads
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