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- Title
Application of deep metric learning in the verification process of wheel design similarity: Hyundai motor company case.
- Authors
Kang, Kyung Pyo; Jung, Ga Hyeon; Eom, Jung Hoon; Kwon, Soon Beom; Park, Jae Hong
- Abstract
The global automobile market experiences quick changes in design preferences. In response to the demand shifts, manufacturers now try to apply new technologies to bring a novel design to market faster. In this paper, we introduce a novel AI application that performs a similarity verification task of wheel designs that aims to solve the real‐world problem. Through the deep metric learning approach, we empirically prove that the cross‐entropy loss does similar tasks as the pairwise losses do in the embedding space. On Jan 2022, we successfully transitioned the verification system to the wheel design process of Hyundai Motor Company's design team and shortened the verification time by 90% to a maximum of 10 min. With a few clicks, the designers at Hyundai Motor could take advantage of our verification system.
- Subjects
HYUNDAI Motor Co. Ltd.; DEEP learning; AUTOMOBILE industry; AUTOMOBILE marketing; RELATIONSHIP marketing; EXPORT marketing; WHEELS
- Publication
AI Magazine, 2023, Vol 44, Issue 4, p406
- ISSN
0738-4602
- Publication type
Article
- DOI
10.1002/aaai.12127