Integration of AI Algorithms into Embedded Systems

Authors

  • Choppa.Ananda Kumar Reddy, Dr. D Vamsi Priya, Ramakrishna Kolikipogu, Dr Tadi.Chandrasekhar, Dr G Naveen Kumar, Dr.N.Dhasarathan, Dr.R.Senthamil Selvan Author

Keywords:

AI, Embedded Systems, IOT, Hardware configuration, Software Running.

Abstract

Integrating AI algorithms into embedded systems and the development of embedded technology has a direct impact on the progress of the IOT, while the advancement of artificial intelligence greatly enhances accessibility in people's daily lives. This study focuses on the application of Artificial Intelligence algorithms in an embedded system. By optimising the hardware configuration and software running algorithms of embedded systems, streamline their operations, boosting their effectiveness more resources and personnel towards research in embedded systems, familiarising oneself with state-of-the-art technological advancements in Western countries, integrating embedded systems into the Internet of Things, and enhance the performance of artificial intelligence algorithms when used in conjunction with embedded systems. According to the findings of the experiments, the embedded system's performance is significantly enhanced when the artificial intelligence algorithm is deployed.

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Published

2025-04-15

Issue

Section

Articles

How to Cite

Integration of AI Algorithms into Embedded Systems. (2025). International Journal of Environmental Sciences, 413-421. https://theaspd.com/index.php/ijes/article/view/710