A Review on Real-Time Traffic Sign Recognition with Voice Warnings

Abstract

Road signs are essential for providing
information to drivers. Understanding road
signs are essential for ensuring traffic safety
because doing so can stop 4484 accidents.
The identification of traffic signs has been
the focus of research in recent decades.
Accurate real-time recognition is the
cornerstone of a robust but underdeveloped
traffic sign recognition system. This study
provides drivers with real-time voice-advice
traffic sign recognition technology. This
system is composed of two subsystems. Using
a trained convolutional neural network, the
first recognizes and detects traffic signs
(CNN). When the system notices a particular
traffic sign, the text-to-speech engine is
employed to play a voice message to the
driver. An efficient- CNN model is built on
the reference data set using deep learning
methods for search and real-time search.
This system's advantage is that it recognizes
traffic signs and guides the car even if the
driver overlooks, ignores, or doesn't
understand them. Say. These technologies
are also necessary for the development of
autonomous vehicles.