Development of CNN-based asymmetric label smoothing method for visual inspection

M. Okazaki; R. Hanayama

doi:10.1117/12.2673752

11 August 2023 Development of CNN-based asymmetric label smoothing method for visual inspection

M. Okazaki, R. Hanayama

Proceedings Volume 12623, Automated Visual Inspection and Machine Vision V; 126230K (2023) https://doi.org/10.1117/12.2673752
Event: SPIE Optical Metrology, 2023, Munich, Germany

Conference Poster

Abstract

To simultaneously reduce miss and over-detection in visual inspection for defect detection, asymmetric detection techniques practiced by skilled workers were helpful. A CNN-based asymmetric label smoothing method was developed to implement the techniques in a visual inspection.

Citation Download Citation

M. Okazaki and R. Hanayama "Development of CNN-based asymmetric label smoothing method for visual inspection", Proc. SPIE 12623, Automated Visual Inspection and Machine Vision V, 126230K (11 August 2023); https://doi.org/10.1117/12.2673752

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