Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)

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Design and Development of Intelligent Traffic Sign Board Detection System

Authors
N. Subha Lakshmi1, *, B. Surendhiran1, S. Lokeshwaran1, G. Vishwather1, S. R. Sashwin Vaibhav1
1Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India
*Corresponding author. Email: subhalakshmin@skcet.ac.in
Corresponding Author
N. Subha Lakshmi
Available Online 30 June 2025.
DOI
10.2991/978-94-6463-754-0_32How to use a DOI?
Keywords
Traffic Sign Detection; ADAS; Autonomous Vehicles; RealTime Detection; MATLAB; DL; CNN; Webcam Video Acquisition; Road Safety; Traffic Sign Classification; Computer Vision
Abstract

This is a critical ADAS component, enabling secure in addition to optimized routing by identifying road signs in real-time. This project focuses on developing a real-time traffic sign detection system using MATLAB, integrating image processing and deep learning methods. The system captures live video from a webcam, applies image processing algorithms to detect traffic signs, and classifies them using algorithm of DL developed using traffic signs comprehensive dataset. Utilizing convolutional neural networks (CNNs), the system can accurately recognize and categorize various signs, including speed limits, warnings, and directional indicators, offering immediate feedback to drivers or automated systems. This project underscores the potential of traffic sign detection to improve road safety, stream line navigation, and support the progression of autonomous driving technologies, contributing to increased secure as well as smarter mobility networks.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
Series
Atlantis Highlights in Engineering
Publication Date
30 June 2025
ISBN
978-94-6463-754-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-754-0_32How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - N. Subha Lakshmi
AU  - B. Surendhiran
AU  - S. Lokeshwaran
AU  - G. Vishwather
AU  - S. R. Sashwin Vaibhav
PY  - 2025
DA  - 2025/06/30
TI  - Design and Development of Intelligent Traffic Sign Board Detection System
BT  - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
PB  - Atlantis Press
SP  - 363
EP  - 378
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-754-0_32
DO  - 10.2991/978-94-6463-754-0_32
ID  - Lakshmi2025
ER  -