• Santosh Behera , Srikanta Sahoo


This paper will examine basic aspects of the edge computing architecture and its
connection with industrial applications as part of a concrete analysis undertaken to provide
evidence supporting the use of edge technologies in demanding Industry 4.0 environments,
including smart factories and smart farming. It also presents findings on accuracy improvements
that compare traditional machine learning techniques for many important tasks, such as
classification of images and speech recognition, how edge applications implement Artificial
Intelligence (AI) to assist users in tasks such as virtual reality, face recognition, and smart
personal assistants. Research such as this lead the current analysis to agree that when paired with
edge apps, AI has tremendous potential and could unlock the efficiency of existing "not-smart"
applications. The aim of this paper is to present some important findings in this field, compare
key architectural aspects and provide a broad view of how edge solutions could be designed.
After explaining how edge computing operates and presenting an overview of how it can be
applied to industrial plants, the final section of this paper discusses ways of promoting the use of
artificial intelligence on edge applications, creating a new source of "smart technologies" for
existing environments.


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How to Cite

Santosh Behera , Srikanta Sahoo. (2020). EDGE COMPUTING ON DIGITAL DEVICES. PalArch’s Journal of Archaeology of Egypt / Egyptology, 17(6), 5154 - 5162. Retrieved from http://mail.palarch.nl/index.php/jae/article/view/1779