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P‐234: Late‐News Poster: A Data‐Centric Approach to Minimize Defect Leakage in an AI‐based Automated Surface Inspection System for Display Manufacturing Process.
- Source :
- SID Symposium Digest of Technical Papers; Jun2024, Vol. 55 Issue 1, p1609-1612, 4p
- Publication Year :
- 2024
-
Abstract
- This study advances Surface Inspection (SI) in display panel manufacturing using a data‐centric approach, addressing high gray zone rates and data discrepancies. We employed a data flywheel method with dual labeling to improve dataset quality. Results show expanded automated coverage and enhanced classification, reducing defect leakage, demonstrating AI's impact in smart manufacturing processes. [ABSTRACT FROM AUTHOR]
- Subjects :
- DEEP learning
MANUFACTURING processes
MACHINE learning
DISPLAY systems
FLYWHEELS
Subjects
Details
- Language :
- English
- ISSN :
- 0097966X
- Volume :
- 55
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- SID Symposium Digest of Technical Papers
- Publication Type :
- Academic Journal
- Accession number :
- 178715684
- Full Text :
- https://doi.org/10.1002/sdtp.17870