Vehicle Detection using AI

Abstract

In today’s world everything is being automated and Artifcial Intelligence is ruling the world. It is being Incorporated in almost every application. The main reason of it’s importance is that it reduces human involvement in problem solving making everyday tasks easier. Such is the application of object detection. Object detection is of immense value nowadays. it has multiple applications like self driving cars, trafc monitoring, etc. This project focuses on detecting vehicles in a scenario. For this purpose Deep learning approach is used instead of other techniques as the aim is to perform real time detection. The model used for training the model is YOLO v3. The comparison of different techniques is made and results are observed in this report. The main purpose of the project is to train a model with a dataset that is created by the students themselves. Google Colab, Jetson Nano kit are the main elements of this project that are used for training the model and loading the model respectively.