Internet of Things to Enhance Real-Time Monitoring Using Linear Regression Algorithm

Abstract

Automatic machine or computer identification, metadata recording, and target control are all made possible by radio frequency identification systems (RFID). When an RFID reader is linked to a computer, it can automatically and globally identify, track, and monitor any tagged items in real-time. The term "Internet of Things" (IoT) describes this phenomenon. Many people consider RFID essential for IoT. Combining RFID technology with the Linear Regression algorithm with IoT for real-time monitoring offers businesses looking to improve productivity, visibility, and data-driven decision-making in a variety of sectors and applications a potent solution. Using the advantages of both technologies, this method develops a complete and scalable process monitoring and optimization system in real-time. Use RFID) Technology and the Linear Regression algorithm with the IoT aim to improve real-time monitoring by building a sophisticated, data-driven system that maximizes operational efficiency, facilitates well-informed decision-making, and offers insightful information about processes. This article provides an overview of RFID and IoT technologies and then goes on to analyze their potential uses and potential pitfalls when used to the Internet of Things. A device that can detect environmental factors, create related data, and communicate it via a communications network may be attached to a non-living item (such as a car, plant, electrical system, roof, lights, etc.) using the Internet of Things. The results show the frequency and time taken for real-time monitoring.