International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2025) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Improving Driver Safety through Automated Traffic Sign Recognition Systems

Author(s) Ms. Saloni Gupta, Ms. Shubhi Gupta, Prof. Dr. Maria Jamal
Country India
Abstract This research presents a CNN-based automated traffic sign recognition system designed to enhance driver safety by accurately detecting and classifying road signs in real time. The proposed TS-CNN model is trained on the GTSRB dataset, incorporating techniques like HSV segmentation, shape-based feature extraction, and data augmentation to improve robustness under various conditions. With a classification accuracy of 95% and fast inference speed, the system aids in reducing accidents caused by missed or misunderstood traffic signs, making it suitable for real-world driver assistance applications.
Keywords Traffic Sign Recognition, Convolutional Neural Network (CNN), Intelligent Transportation Systems, Driver Assistance, Real-Time Classification, Deep Learning, GTSRB Dataset, Image Processing, Road Safety, Feature Extraction
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-04
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.43612
Short DOI https://doi.org/g9hsd6

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