The project aims to represent a prototype of a monocular vision self-driving car model using latest technology of
OpenCV2 and Machine Learning. Self-driving cars are autonomous vehicles that would minimize human intervention thereby minimizing the risk of accidents and make transportation safer, comfortable and that which can be done anytime. The car model will be able to detect the lane path, sign boards, traffic light signals and respond to real time traffic. Raspberry Pi is the central processing unit used along with peripheral devices such as Arduino Uno, L298 H-Bridge and the raspi Cam2 to bring about the desired control needed for our car. Algorithms like Lane Detection, Object Detection, Canny Edge Detection, Harr Cascade Classifier are amalgamated with Computer Vision to provide the necessary functionalities in the car.