Road Sign Recognition and Vehicle Control Using Raspberrypi

Abstract

This paper appearance into the advance of road sign recognition and vehicle management by employing a Raspberry PI, it needs a computationally simple but accurate algorithm. It instantly assists the automatic driving system in recognizing and police work traffic signs more effectively. During this planned work, the system instantly acknowledges the road signs and controls the car by giving commands in certain actions. In this system, we have got  used the raspberry pi 3 processor and web camera which mechanically captures the video around. First, the video information convert into several frames that area unit processed by Sobel filter exploitation edge detection. Next, the photographs of the road signs are converted into gray scale images, We present a concise overview of image processing methods and analysis get and filtered in it by using Simplified Gabor Wavelets(SGW), wherever the parameters are optimized and when we tend to extracted the Region of Interest(ROI) using the foremost stable external regions area unit notice by using the algorithmic program and classified the taxonomic category of traffic signs. The Survey results from German and Chinese traffic sign databases show that the proposed methodology gets a comparable performance with the state of the art method and even more in the future, the complete process of detection and classification were updated as per the real-time operation potency. We tend to use Sobel filters for detecting road signs and therefore the detail of a sensory system may be explained.