Smart Car Revolution Using ML

Abstract

This project aims to demonstrate the prototype of a monocular driverless car model using the latest OpenCV2 and machine learning technologies. Smart Car are smart vehicles that reduce human intervention, thus reducing the risk of accidents and making transportation safer, easier and more efficient always. This model car will be able to detect road lines, signs, traffic lights, and traffic timing. Raspberry Pi is the central operating system used with devices such as Arduino UNO, L298 H-Bridge and raspi Cam2 to provide the control we need for our car. Algorithms such as lane detection, object detection, Canny edge detection, and Harr cascade classifier are combined with computer vision to assign appropriate tasks to the car.