Augmented Reality Based Automotive Engineering and Object Detection System

Abstract

Objectives: In this modern era of technology, the learning methods are changing drastically and Augmented Reality (AR) is becoming one of the popular learning methods around the globe for experts and researchers. Methods/Findings: While it has been observed from past studies that the Automotive engineers, researchers, students, and experts need different sources like books, simulation kits, and websites to gather and learn information about the automotive industry and work process of different engine parts, which may is a time taking task and old approach seems to be. In this paper, we have used a 3D creation software blender and solid work for developing live 3D models of different engine parts and tensor flow and machine learning to detect the vehicle objects as well. Application: Our system will provide complete user-friendly control to the user which will assist them to retrieve detailed view of engine parts. These models are a less complex and more attractive way of learning for the user.