Autonomous Traffic Sign Detection and Recognition in Real Time

Abstract

Every day, over 400 traffic accidents occur in India, according to official statistics. Traffic sign recognition plays very important role in intelligent autonomous vehicles as well as in driver assistant system to disburden the driver. The main aim of this project is to reduce the cause of road accidents because of an inactive drivers on the road. We are developing a model which makes image classification and buzzer to avoid drivers distraction. In this model we are improving the performance to detect the Indian road signs to assist the drivers. And we will also reduce the over speed problems, they will follow traffic rules strictly by using this model. Our project will also help new learners to improve their driving experience. A skeleton for an Autonomous Traffic Sign Detection and Recognition (TSDR) in real time has been proposed. The proposed framework includes two parts: traffic sign detection and recognition of detected traffic signs. Future autonomous vehicles will benefit from this framework because it allows for the traffic sign detection and recognition in real time from the complex images that occur on the road. The proposed framework helps the drivers to improve road safety as well to help new learners to improve their driving experience also.