TRAFFIC SIGN RECOGNITION AND CLEARANCE FOR AMBULANCE USING RFID (KEY IJP************341)

• Vishwas C P,Amar S,Sanjay C M,Vignesh Raj Y R

Abstract

Convolutional neural networks (CNNs) are frequently used to extract the characteristics of traffic signs and categorize them into matching classes. Traffic sign recognition (TSR) is an integral component of driver assistance systems. In India, traffic sign recognition now has a baseline thanks to this effort (INDIA Traffic Signs 3K). Two models were selected: Faster R-CNN and YOLOv5 to test which deep learning models were best for the TSR problem. With the use of specialized radio frequency identification (RFID) tags, an intelligent traffic management system was developed to seamlessly pass emergency vehicles. In a wireless communication lab, the prototype was put to the test with various combinations of inputs, and the experimental outcomes were as predicted.