Sorte, Prachi and Bodake, Suchit Eknath and Todmal, Pratiksha Gorakshnath (2025) Traffic Sign Detection Using GEN-AI. International Journal of Innovative Science and Research Technology, 10 (3): 25mar1744. pp. 3140-3148. ISSN 2456-2165
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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.
Item Type: | Article |
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Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
Depositing User: | Editor IJISRT Publication |
Date Deposited: | 19 Apr 2025 09:43 |
Last Modified: | 19 Apr 2025 09:43 |
URI: | https://eprint.ijisrt.org/id/eprint/477 |