Diagnostic Oscilloscope with Artificial Intelligence

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0201536" target="_blank" >RIV/00216305:26220/26:0201536 - isvavai.cz</a>
Result on the web
<a href="https://www.eeict.cz/download" target="_blank" >https://www.eeict.cz/download</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Diagnostic Oscilloscope with Artificial Intelligence
Original language description
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.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings I of the 31st Conference STUDENT EEICT 2025
ISBN
978-80-214-6321-9
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
142-145
Publisher name
Brno University of Technology, Faculty of Electrical Engineering and Communication
Place of publication
Brno
Event location
Brno
Event date
Apr 29, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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