ABSTRACT
This chapter covers the serviceability and the necessity of Edge AI in industry applications. Every industry has to optimize resource utilization and perform complex activities such as object deduction, decision making, and monitoring operations with Edge AI devices. There is no large infrastructure for managing the Edge AI systems. The Edge AI system is programmed with tiny machine learning algorithms for decision making. Edge AI devices not only save time but also increases manual errors that ensure the quality of the work delivered in many fields. This chapter covers the real-time use cases for agricultural, automobile, and financial applications with an experiment done in a Python program.
