Advances in Engineering Innovation

Advances in Engineering Innovation

Vol. 5, 25 December 2023


Open Access | Article

Edge AI and IoT: Direct integration for on-the-device data processing

Khudiri Samuri Ali * 1
1 University of Florida

* Author to whom correspondence should be addressed.

Advances in Engineering Innovation, Vol. 5 Advances in Engineering Innovation,
Published 25 December 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Khudiri Samuri Ali. Edge AI and IoT: Direct integration for on-the-device data processing. AEI (2023) Vol. 5: 0-0. DOI: 10.54254/2977-3903/5/2023040.

Abstract

The integration of Artificial Intelligence (AI) with the Internet of Things (IoT) devices has led to the emergence of Edge AI, a transformative solution that enables data processing directly on the IoT devices or "at the edge" of the network. This paper explores the benefits of Edge AI, emphasizing reduced latency, bandwidth conservation, enhanced privacy, and faster decision-making. Despite its advantages, challenges like resource constraints on IoT devices persist. By examining the practical implications of Edge AI in sectors like healthcare and urban development, this study underscores the paradigm shift towards more efficient, secure, and responsive technological ecosystems.

Keywords

edge AI, Internet of Things (IoT), on-device processing, data privacy, real-time decision-making

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
ISBN (Print)
ISBN (Online)
Published Date
25 December 2023
Series
Advances in Engineering Innovation
ISSN (Print)
2977-3903
ISSN (Online)
2977-3911
DOI
10.54254/2977-3903/5/2023040
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated