Augmented reality based breadboard circuit building guide application

dc.contributor.authorThiwanka, N
dc.contributor.authorChamodika, U
dc.contributor.authorPriyankara, L
dc.contributor.authorSumathipala, S
dc.contributor.authorWeerasuriya, GT
dc.contributor.editorWijesiriwardana, CP
dc.date.accessioned2022-12-05T05:51:23Z
dc.date.available2022-12-05T05:51:23Z
dc.date.issued2018
dc.description.abstractBuilding circuits on breadboards is an activity which requires a lot of attention and thinking. If there is a way to guide this process by using modern technologies, the learning process can be made more effective and interactive. This study proposes a solution that provides students with an augmented reality visualization of the expected circuit on a breadboard before they actually make the circuit. The proposed system can be divided into four main modules based on their functionality (a) extracting possible information from the electronic components, (b) scanning circuit diagrams for identifying circuit symbols and their connectivity, (c) finding the appropriate arrangement of the electronic components on the breadboard and (d) using augmented reality to visualize the circuit on a breadboard. This solution provides an innovative approach to facilitate the learning process of students by making electronic circuit building interesting and interactive.en_US
dc.identifier.citationN. Thiwanka, U. Chamodika, L. Priyankara, S. Sumathipala and G. T. Weerasuriya, "Augmented Reality Based Breadboard Circuit Building Guide Application," 2018 3rd International Conference on Information Technology Research (ICITR), 2018, pp. 1-6, doi: 10.1109/ICITR.2018.8736156.en_US
dc.identifier.conference3rd International Conference on Information Technology Research 2018en_US
dc.identifier.departmentInformation Technology Research Unit, Faculty of Information Technology, University of Moratuwa.en_US
dc.identifier.doidoi: 10.1109/ICITR.2018.8736156.en_US
dc.identifier.emailmnthiwanka@gmail.comen_US
dc.identifier.emailumesh.chamodika@gmail.comen_US
dc.identifier.emailpriyankaraggl@gmail.comen_US
dc.identifier.emailsagaras@uom.lken_US
dc.identifier.emailthiliniw@uom.lken_US
dc.identifier.facultyITen_US
dc.identifier.proceedingProceedings of the 3rd International Conference in Information Technology Research 2018en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/19647
dc.identifier.year2018en_US
dc.language.isoenen_US
dc.relation.urihttps://ieeexplore.ieee.org/document/8736156en_US
dc.subjectImage processingen_US
dc.subjectAugmented realityen_US
dc.subjectConvolutional neural networksen_US
dc.subjectDeep learningen_US
dc.subjectTransfer learningen_US
dc.titleAugmented reality based breadboard circuit building guide applicationen_US
dc.typeConference-Full-texten_US

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