核心概念
Super-resolution technology enhances license plate recognition accuracy by processing blurred images.
要約
The content discusses the application of super-resolution imaging in recognizing low-resolution blurred license plates. It compares three super-resolution models: Real-ESRGAN, A-ESRGAN, and StarSRGAN. The study aims to enhance the resolution of license plate photos for accurate recognition. It covers literature review, research methodology, data preprocessing, experimental design, model evaluation, and the experimental environment. Key insights include challenges in license plate recognition due to low-quality surveillance cameras and external factors like weather conditions affecting image clarity.
統計
According to a 2021 IHS Markit report on global surveillance camera penetration, Taiwan ranks third worldwide with an average of one surveillance camera per 5.5 people.
The number of traffic accidents in Taiwan has been steadily increasing each year from 170,127 cases in 2008 to 375,844 cases in 2022.
Hit-and-run incidents account for approximately 4.5% of traffic accident cases in Taiwan.
引用
"License plate recognition is a significant technology with wide applications in modern society." - Ching-Hsiang Wang