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Traffic Sign Recognition System with Voice Alerts Using IoT Technology
Subject area: Science,Engineering and Technology · Area of research: Computer Vision and Image Processing
DOI: https://doi.org/10.64388/IREV9I11-1717606
Abstract
The world is changing rapidly, and smart transportation technologies are evolving at a similar pace. Various technological advancements are being adopted for automotive safety and Advanced Driver Assistance Systems (ADAS). To address modern road safety threats and driver distraction, an advanced Internet of Things (IoT) equipped system is introduced, featuring real-time traffic sign recognition and voice alerts. The system utilises image processing technology and microcontrollers to detect road signs, immediately triggering hazardous warnings or navigational audio alerts. The device can also transmit real-time data to a cloud dashboard for traffic monitoring. By providing instant auditory feedback, the system ensures that drivers stay informed even if they momentarily take their eyes off the road. This setup specifically helps in reducing accidents caused by overlooked speed limits or stop signs in low-visibility conditions. The use of compact hardware makes it an affordable solution for older vehicles that lack built-in smart features. Furthermore, the cloud integration allows authorities to identify high-risk zones based on frequently detected warning signs. Ultimately, this project aims to create a safer driving environment by bridging the gap between manual driving and fully autonomous intelligence.
Keywords
Traffic Sign Recognition, IoT, Voice Alerts, Raspberry Pi 5, Advanced Driver Assistance Systems (ADAS), Road Safety, Driver Distraction.
How to cite this paper
@article{1717606,
author = {Pratik Lonkar, Dr. Pratibha Adkar},
title = {Traffic Sign Recognition System with Voice Alerts Using IoT Technology},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {11},
pages = {1461-1467},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1717606.pdf},
abstract = {The world is changing rapidly, and smart transportation technologies are evolving at a similar pace. Various technological advancements are being adopted for automotive safety and Advanced Driver Assistance Systems (ADAS). To address modern road safety threats and driver distraction, an advanced Internet of Things (IoT) equipped system is introduced, featuring real-time traffic sign recognition and voice alerts. The system utilises image processing technology and microcontrollers to detect road signs, immediately triggering hazardous warnings or navigational audio alerts. The device can also transmit real-time data to a cloud dashboard for traffic monitoring. By providing instant auditory feedback, the system ensures that drivers stay informed even if they momentarily take their eyes off the road. This setup specifically helps in reducing accidents caused by overlooked speed limits or stop signs in low-visibility conditions. The use of compact hardware makes it an affordable solution for older vehicles that lack built-in smart features. Furthermore, the cloud integration allows authorities to identify high-risk zones based on frequently detected warning signs. Ultimately, this project aims to create a safer driving environment by bridging the gap between manual driving and fully autonomous intelligence.},
keywords = {Traffic Sign Recognition, IoT, Voice Alerts, Raspberry Pi 5, Advanced Driver Assistance Systems (ADAS), Road Safety, Driver Distraction.},
month = {May},
doi = {https://doi.org/10.64388/IREV9I11-1717606}
}