Rapid prototyping of the SmartAR augmented reality control platform for multiple use cases
Purmaissur, Jannish, Seeam, Amar 
ORCID: https://orcid.org/0000-0001-8203-1545 and Ramsurrun, Visham
(2022)
Rapid prototyping of the SmartAR augmented reality control platform for multiple use cases.
2022 3rd International Conference on Next Generation Computing Applications (NextComp).
In: IEEE Nextcomp 2022, 06-07 Oct 2022, Flic-en-Flac, Mauritius.
e-ISBN 9781665469548, e-ISBN 9781665469531, pbk-ISBN 9781665469555.
[Conference or Workshop Item]
(doi:10.1109/NextComp55567.2022.9932206)
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Abstract
The technology of augmented reality (AR) is still in its infancy, but given the significant influence of mobile devices like smartphones and tablets, it can be said to be the next big thing for the next generation. The goal of this study is to create, utilizing fast application development approaches, a low-cost platform that can be applied to a variety of Smart City and Smart Building use cases. The many AR use cases discussed in this paper are all implemented using the same methodology. The Node-Red platform, which is perfectly suited to the Internet of Things and online applications, was used to swiftly construct a number of augmented reality use cases for the platform
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Theme: | |
| Keywords (uncontrolled): | Virtual and augmented reality, Evolutionary prototyping, User interfaces, Mobile Applications |
| Research Areas: | A. > School of Science and Technology > Computer Science |
| Item ID: | 36485 |
| Notes on copyright: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Useful Links: | |
| Depositing User: | Amar Kumar Seeam |
| Date Deposited: | 10 Oct 2022 12:59 |
| Last Modified: | 17 Nov 2022 04:32 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/36485 |
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