IoT based Traffic Sign Detection and Violation Control

In the field of Vehicular automation, the detection of traffic signs plays a vital role. The enormous growth has been faced in the field. Even though the technology warns the user about the detected traffic sign, there are chances that the user might violate them, and violating the traffic sign rules might lead to accidents where the life of people would be at stake. Hence, to avoid these problems this project has proposed a prototype in such a way that, it detects the traffic signs using Convolutional Neural Network (CNN) and acts accordingly denying the user's control in real time if he tries to violate the rules in the traffic sign. The prototype contains a Remote Controlled (RC) car, which is controlled with Raspberry pi-3 with a pi camera and Arduino. The live feed from the pi camera is fed into Raspberry pi-3 which detects the traffic signs (speed limit, no left, no right, no U-turn). The Arduino UNO is used to drive the motor according to the processed output from the Raspberry pi-3.