Detail publikačního výsledku

Diagnostic Oscilloscope with Artificial Intelligence

KNOB, M.; KUFA, J.

Originální název

Diagnostic Oscilloscope with Artificial Intelligence

Anglický název

Diagnostic Oscilloscope with Artificial Intelligence

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper describes the design and implementation of an oscilloscope that can recognise individual measurement signals, communication protocols, and buses based on machine learning (ML), a subset of artificial intelligence (AI). The oscilloscope is compact and fully portable. The device is powered by a battery, making it energy self-sufficient. The oscilloscope data can be visualised with a smartphone using the Scoppy app. The Raspberry Pi Pico W microcontroller can be connected via Wi-Fi or USB. The processing of the measured signals is not done in real time, but from exported data using MATLAB. A graphical user interface (GUI) has been designed in MATLAB for data processing using ML.

Anglický abstrakt

This paper describes the design and implementation of an oscilloscope that can recognise individual measurement signals, communication protocols, and buses based on machine learning (ML), a subset of artificial intelligence (AI). The oscilloscope is compact and fully portable. The device is powered by a battery, making it energy self-sufficient. The oscilloscope data can be visualised with a smartphone using the Scoppy app. The Raspberry Pi Pico W microcontroller can be connected via Wi-Fi or USB. The processing of the measured signals is not done in real time, but from exported data using MATLAB. A graphical user interface (GUI) has been designed in MATLAB for data processing using ML.

Klíčová slova

Oscilloscope; microcontroller; machine learning; signal; protocol; bus

Klíčová slova v angličtině

Oscilloscope; microcontroller; machine learning; signal; protocol; bus

Autoři

KNOB, M.; KUFA, J.

Rok RIV

2026

Vydáno

29.05.2025

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-6321-9

Kniha

Proceedings I of the 31st Conference STUDENT EEICT 2025

Strany od

142

Strany do

145

Strany počet

4

URL

https://www.eeict.cz/download

BibTex

@inproceedings{BUT201536,
  author="Martin {Knob} and Jan {Kufa}",
  title="Diagnostic Oscilloscope with Artificial Intelligence",
  booktitle="Proceedings I of the 31st Conference STUDENT EEICT 2025",
  year="2025",
  pages="142--145",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6321-9",
  url="https://www.eeict.cz/download"
}