Abstract:
According to world health organization statistics done in 2021, 1.3 million people die yearly as a result of road traffic crashes. Undoubtedly, the fetal injuries are affecting people with age range 5 to 29 which shortly leads to death. recently technology had contributed to reduce the number of crashes by using different applications of computer vision. one of computer vision applications is Traffic sign recognition system (TSRS). clearly, TSRS is a significant partition of intelligent transportation system (ITS). in addition to its ability to identify traffic signs accurately, which effectively can improve the driving safety. This project focuses on traffic sign recognition technique using deep learning, which mainly aims to detect and classify all traffic signs using convolutional neural network (CNN).