Year: 2025
Type: article
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.
Author: Shiyu Qin
Institution: University of Manchester
Language: English
Subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4406247672