Self-Driving Car Based on Image Processing and Microcontroller

Road accidents near school or hospital zones are all too common in today’s environment. We see a lot of people driving at high speeds under the influence of alcohol or for thrill causing road accidents. So, vehicle speed control must be taken into consideration to avoid casualties due to over speeding. The purpose of this system is to control the speed of the vehicle by recognizing speed sign boards on the roadside with the help of Rasberry Pi board and image processing. The camera is positioned at the front of the vehicle to capture the images of sign boards to process them. The captured images are then compared with the stored images using Python open CV to control the vehicle’s speed in the speed restricted areas. The objective of this project is to reduce the accidents caused due to over speeding. The automatic sign detection and recognition has been converted to a real challenge for high performance of computer vision and machine learning techniques. Traffic sign analysis can be divided in three main problems: automatic location, detection and categorization of traffic signs. Basically, most of the approaches in locating and detecting of traffic signs are based on color information extraction