AR Circuits: Augmented Reality for Electrical Education
Publication Date
2-2025
Document Type
Conference Proceeding
Exhibition/Performance Dates
December 2024
Publication Title
2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA)
Conference Location
Nagpur, India
DOI
10.1109/ICAIQSA64000.2024.10882456
Abstract
This research introduces ”AR Circuits,” an innovative educational tool utilizing Augmented Reality (AR) to simulate and visualize complex electrical circuits interactively. Traditional methods of teaching electrical concepts often struggle with conveying three-dimensional and dynamic structures effectively. AR Circuits addresses this challenge by leveraging AR technology, allowing users to view the real world augmented with digital content related to electrical components. The system employs fiducial markers representing circuit elements, enabling users to build, modify, and visualize circuits in real time. The integration of OpenSceneGraph for 3D graphics, AR Toolkit for marker tracking, and GnuCap for circuit analysis form the foundation of AR Circuits. The user's ability to control the circuit layout through marker placement and receive real-time feedback on voltage and current enhances the learning experience. The research discusses the system's goals, limitations, and potential improvements, highlighting the need for further work to improve user interaction, scalability, and educational effectiveness. As Augmented Reality continues to gain prominence in education, AR Circuits provide a glimpse into the future of interactive and immersive learning experiences for electrical engineering students.
Keywords
Visualization, Three-dimensional displays, Quantum computing, Scalability, Circuits, Education, Prototypes, Real-time systems, Voltage control, Augmented reality
Department
Electrical Engineering
Recommended Citation
Kush Desai. "AR Circuits: Augmented Reality for Electrical Education" 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA) (2025). https://doi.org/10.1109/ICAIQSA64000.2024.10882456
Comments
* Kush Desai graduated from San Jose State University with a Master of Science (MS) degree in Electrical Engineering in 2021.