Using AR for device maintenance

Abstract

Currently, Ericsson and other actors are hard at work connecting the industry to local networks for increased oversight, flexibility and agility. This, in combination with stable optical identification libraries and powerful mobile devices creates an opportunity for an AR tool capable of extracting and visualizing valuable and relevant data. This project aims to utilize this opportunity, exploring the possibilities of using augmented reality for device maintenance. More specifically identifying a malfunctioning device and the cause of the malfunction by accessing its data through AR. Due to the difficulties in uniquely identifying a large number of devices through AR and the lacking documentation regarding this in most frameworks a large part of the projects time went to testing frameworks. This, combined with the projects development being limited to Linux, forced the project goal to be a proof of concept rather than a functional application. As such the project ended with a proof of concept application and a lot of experience regarding what tools shouldn’t be used.