Abstract: Deep learning is a type of machine learning and Artificial Intelligence (AI) that imitates the way humans gain certain types of knowledge. Deep learning is an important element of data science, which includes statistics and predictive modelling. It is extremely beneficial when we have to collect, analyse and interpret large amounts of data; deep learning makes this process faster and easier. At its simplest, deep learning can be thought of as a way to automate predictive analytics. In today’s world, almost everything we do has been simplified by automated tasks. In an attempt to focus on the road while driving, drivers often miss out on signs on the side of the road, which could be dangerous for them and the people around them. This problem can be avoided if there was an efficient way to notify the driver without having them shift their focus. Traffic Sign Detection and Recognition (TSDR) plays an important role here by detecting and recognizing a sign, thus notifying the driver of any upcoming signs. This not only ensures road safety but also allows the driver to be at a little more ease while driving on tricky or new roads. Another commonly faced problem is not being able to understand the meaning of the sign. In this project image processing for the detection of a sign and an ensemble of Convolutional Neural Networks (CNN) for the recognition of the sign are used. The driver can see the upcoming sign board and the meaning of that sign with the help of this Advanced Driver Assistance Systems (ADAS) application, drivers will no longer face the problem of understanding what the sign says. This is a very useful project wherein the driver can see the sign board displayed on the screen with its meaning in the form of a text alert message.

Keywords: TSDR, Python, Image Processing, Deep Learning, Convolutional Neural Network.

| DOI: 10.17148/IARJSET.2024.11445