AI-Driven embedded systems for industrial automation
1 Department of Electrical and Electronics, Government Polytechnic, Holenarasipura-573211, Karnataka, India.
2 Department of Electronics and Communication, D. A.C.G. Government polytechnic, Chikkamagaluru-577101, Karnataka, India.
3 Department of Electronics and Communication, Government Polytechnic for women, Hassan-573201, Karnataka, India.
Research Article
World Journal of Advanced Research and Reviews, 2021, 12(03), 751-757
Publication history:
Received on 02 December 2021; revised on 10 December 2021; accepted on 22 December 2021
Abstract:
This paper explores the integration of artificial intelligence techniques in embedded systems for industrial automation applications. We examine how AI algorithms can enhance embedded systems' capabilities in monitoring, control, diagnostics, and optimization within industrial environments. Our analysis covers implementation challenges, performance considerations, and emerging trends based on literature published before 2020. Through examination of case studies and experimental data, we demonstrate that AI-driven embedded systems offer significant improvements in efficiency, predictive maintenance, and autonomous decision-making in industrial automation contexts.
Keywords:
Internet of Things; Smart Homes; Energy Management; Machine Learning; Optimization; Demand Response; Smart Grid; System Architecture; User Interface; Security; Privacy; Interoperability; Renewable Energy
Full text article in PDF:
Copyright information:
Copyright © 2021 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0