Traffic Sign Detection Using GEN-AI

Traffic sign detection and recognition are crucial for intelligent transportation systems (ITS) and autonomous vehicles. Traditional methods face challenges with distorted or unclear images, impacting detection accuracy. This research proposes a real-time traffic sign detection system using YOLOv4 integrated with Generative AI (GenAI) to correct distorted images and enhance contextual data readability. By leveraging GenAI, the model achieves improved detection accuracy and robustness, particularly under adverse conditions. Experimental results demonstrate an accuracy of 89.33%, showcasing the system’s efficiency and real-time performance.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.38124/ijisrt/25mar1744
Primary Topic
Vehicle License Plate Recognition
Type
article
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article

Traffic Sign Detection Using GEN-AI

Prachi Sorte, Suchit Eknath Bodake, Pratiksha Gorakshnath Todmal
Vehicle License Plate Recognition
article

Traffic Sign Detection Using GEN-AI

Prachi Sorte, Suchit Eknath Bodake, Pratiksha Gorakshnath Todmal
article en

Abstract

Traffic sign detection and recognition are crucial for intelligent transportation systems (ITS) and autonomous vehicles. Traditional methods face challenges with distorted or unclear images, impacting detection accuracy. This research proposes a real-time traffic sign detection system using YOLOv4 integrated with Generative AI (GenAI) to correct distorted images and enhance contextual data readability. By leveraging GenAI, the model achieves improved detection accuracy and robustness, particularly under adverse conditions. Experimental results demonstrate an accuracy of 89.33%, showcasing the system’s efficiency and real-time performance.

Openalex Percentile: Top 89%
Vehicle License Plate Recognition
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Traffic Sign Detection Using GEN-AI — Prachi Sorte, Suchit Eknath Bodake, et al. · (2025) | TGRS Research Map | TGRS