Vision Based Robotic Car

Abstract

According to this study, the implementation of a Vision Based Robotic Car, which uses Raspberry Pi and
a mounted Pi-camera, is explained. Input photos from the Pi-camera are processed using a vision library
that uses a circle recognition algorithm to track round objects, allowing the automobile to drive itself. It
also has an Ultrasonic sensor that helps the car avoid obstructions. DC motor steering is accomplished
by the use of a twin H bridge motor driver installed on the automobile. An autonomous vehicle based on
vision is the focus of this article. A number of tests are carried out in the surrounding area, and the
findings are positive.