Augmented reality circuit learning

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Building electronic circuits is one of the most common hands-on activities in learning STEM subjects. Beginning students often find it difficult to translate a circuit schematic into the construction of the physical circuit on a breadboard. In this paper, we describe an Augmented Reality circuit learning software that can provide students with step-by-step instructions by placing virtual circuit components on a physical breadboard. We propose a novel image processing pipeline that can robustly identify the planar structure of a breadboard, even in the presence of occluding circuit components on the breadboard. Using a commercially available library of 3D circuit component models, the estimated 3D structure of the breadboard allows us to render arbitrary circuit components on it in real time. Experimental results demonstrate that our algorithms are accurate and can produce realistic-looking virtual circuits.

Original languageEnglish
Title of host publication2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings
ISBN (Electronic)9781728192017
DOIs
StatePublished - 2021
Event53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Daegu, Korea, Republic of
Duration: May 22 2021May 28 2021

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2021-May
ISSN (Print)0271-4310

Conference

Conference53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021
Country/TerritoryKorea, Republic of
CityDaegu
Period5/22/215/28/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE

Keywords

  • Augmented reality
  • Circuit learning
  • Vision-based circuit inspection

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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