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http://dx.doi.org/10.6109/jkiice.2022.26.12.1809

Implementation of Point detail Classification System using Few-shot Learning  

Park, Jin-Hyouk (Movements Research Center, Movements Corp)
Kim, Yong Hyun (Movements Research Center, Movements Corp)
Lee, Kook-Bum (Movements Research Center, Movements Corp)
Lee, Jongseo (Movements Research Center, Movements Corp)
Kim, Yu-Doo (Department of Data Convergence Software, Korea Polytechnics)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.12, 2022 , pp. 1809-1815 More about this Journal
Abstract
A digital twin is a technology that creates a virtual world identical to the real world. Problems in the real world can be identified through various simulations, so it is a trend to be applied in various industries. In order to apply the digital twin, it is necessary to analyze the drawings in which the structure of the real world to be made identical is designed. Although the technology for analyzing drawings is being studied, it is difficult to apply them because the rules or standards for drawing drawings are different for each author. Therefore, in this paper, we implement a system that analyzes and classifies the vertex detail, one of the drawings, using artificial intelligence. Through this, we intend to confirm the possibility of analyzing and classifying drawings through artificial intelligence and introduce future research directions.
Keywords
Digital Twin; Point detail; Few-shot Learning; Image Classification;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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