Estimation of Automatic License Plate Recognition Using Deep Learning Algorithms

Kattur Soundarapandian Ravichandran

doi:10.31181/sdmap21202512

Authors

Kattur Soundarapandian Ravichandran Department of Mathematics, Amrita School of Physical Sciences, Amrita Vishwa Vidyapeetham, India Author https://orcid.org/0000-0003-2397-461X

DOI:

https://doi.org/10.31181/sdmap21202512

Keywords:

Automatic License Plate Recognition, Preprocessing, Deep Learning, YOLO, Optical Character Recognition

Abstract

Electric vehicles are very important for the country's economy. Thanks to the use of these vehicles, both environmental and economic benefits can occur for countries. However, there are some problems that prevent the development of electric vehicles. The inadequacy of charging stations is one of the most important problems in this process. This problem prevents the preference of electric vehicles. Therefore, a comprehensive analysis is required to solve this problem. Accordingly, this study aims to determine strategy suggestions that will increase the effectiveness of charging stations for electric vehicles. To achieve this goal, a new decision-making model is proposed in this study. In this model, multi-criteria decision-making techniques are integrated with fuzzy logic. The findings indicate that technological improvements play the most crucial role in increasing the effectiveness of these investments. Similarly, increasing the number of charging stations also has a positive influence on this situation.

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References

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