Technological Development and Application of Image Recognition - License Plate Recognition

License Plate Recognition has become popular due to the advancement of technologies in traffic and vehicle management, law enforcement, and smart city development. Artificial intelligence and image recognition are two fundamental aspects behind the technical development of IR and its use in LPR. Image recognition using AI helps to develop a learning model that gets improved with time and more data processing. However, due to the nature of applications of LPR in real-life scenarios, accuracy and data security have become two critical challenges. The aim of the research is to explore whether advanced AI models and PyTorch can be used to make secure LPR solution that also performs well. The system implementation helps to understand that PyTorch can be used to deploy various techniques for image detection with high level of accuracy while reducing the performance bottleneck. Hence, it can be used to develop a secure and high-performing LPR for real-life scenarios.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-01-10
DOI
https://doi.org/10.54254/2755-2721/2025.19738
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
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article

Technological Development and Application of Image Recognition - License Plate Recognition

Shiyu Qin
Applied and Computational Engineering
Vehicle License Plate Recognition
article

Technological Development and Application of Image Recognition - License Plate Recognition

Shiyu Qin
article en

Abstract

License Plate Recognition has become popular due to the advancement of technologies in traffic and vehicle management, law enforcement, and smart city development. Artificial intelligence and image recognition are two fundamental aspects behind the technical development of IR and its use in LPR. Image recognition using AI helps to develop a learning model that gets improved with time and more data processing. However, due to the nature of applications of LPR in real-life scenarios, accuracy and data security have become two critical challenges. The aim of the research is to explore whether advanced AI models and PyTorch can be used to make secure LPR solution that also performs well. The system implementation helps to understand that PyTorch can be used to deploy various techniques for image detection with high level of accuracy while reducing the performance bottleneck. Hence, it can be used to develop a secure and high-performing LPR for real-life scenarios.

Applied and Computational EngineeringVol. 121(1)
University of Manchester (GB)
Sustainable cities and communities
Openalex Percentile: Top 99%
Vehicle License Plate Recognition
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