Automation of Iot Laboratory Tasks Using Ai
Year: 2025
Type: conference-paper
Abstract: The Internet of Things (IoT) represents an interdisciplinary approach encompassing electronics, programming, and network communication, placing high demands on assessing students' practical skills. This article analyzes existing tools used in IoT laboratories and identifies their limitations. We propose a solution that leverages artificial intelligence (AI) to automate the detection of hardware errors and software evaluation. AI models trained on image and programming data will enable efficient monitoring of component connections and code assessment. The expected outcomes include increased assessment accuracy, immediate feedback, and reduced instructor workload. Automating IoT laboratories thus brings significant advancements in the field of education.
Author: Procházka, Peter
Institution: Bratislava University of Economics and Business
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6912194469
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