A Self Driving Car using Machine Learning and IOT

Abstract

This paper aims to represent a mini version of self-driving automotive victimization IOT with raspberry pi and Arduino UNO working as a main processor chip, the 8mp high resolution pi camera can offer the specified data and thus the raspberry pi can analyze the data(samples) and it will get trained in pi with neural network and machine learning algorithm which could finish in detection road lanes, traffic lights and thus the automotive can alternate consequently. to boot to these options the automotive can overtake with correct LED indications if it comes across associate obstacle.