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Real-Time Traffic Sign Recognition Using Convolutional Neural Networks

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Volume-10 | Innovations in Computer Science and Applications

Last date : 28-Mar-2026

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Real-Time Traffic Sign Recognition Using Convolutional Neural Networks


Samaksh Mangesh Shahane



Samaksh Mangesh Shahane "Real-Time Traffic Sign Recognition Using Convolutional Neural Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications, April 2026, pp.132-137, URL: https://www.ijtsrd.com/papers/ijtsrd101421.pdf

However, with the further advancement and development of Intelligent Transportation Systems (ITS) technology, there is a greater requirement for developing effective and reliable techniques for the improvement of road safety and the assistance of drivers. A significant aspect in this direction is the development of Traffic Sign Recognition (TSR) technology, where a system is required for the identification of different signs on the road, such as warning signs, information signs, and regulation signs. This research is based on the development of a computer vision system, which is required for the elimination of errors arising from driver fatigue, a major cause of traffic accidents. The system is based on the improvement and refinement of Convolutional Neural Networks (CNNs) in such a manner that it is capable of balancing high accuracy with the requirement for information processing in a rapid manner. A high degree of training is provided to the system, enabling it to perform well in different locations. Ultimately, a computerized TSR system is required for the further advancement and development of self-driving cars, creating a well-ordered traffic environment.

Traffic Sign Recognition, Computer Vision, Convolutional Neural Networks, Deep Learning, Intelligent Transportation Systems, Autonomous Vehicles, Image Processing, Road Safety.


IJTSRD101421
Special Issue | Innovations in Computer Science and Applications, April 2026
132-137
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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