Defective products detection using adversarial AutoEncoder

Shunsuke Nakatsuka; Hiroaki Aizawa; Kunihito Kato

doi:10.1117/12.2521371

22 March 2019 Defective products detection using adversarial AutoEncoder

Shunsuke Nakatsuka, Hiroaki Aizawa, Kunihito Kato

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 110490U (2019) https://doi.org/10.1117/12.2521371
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

In this paper, we aimed at discrimination of defects under conditions where there is a large number of good products and a small number of defective products. Although automation of a visual inspection is essential to improve the quality of products, either or both of the features extracted by the experts and balanced dataset are needed. We tackled such a problem. By combining AAE, which can extract features following any distribution and Hotelling's T-Square, which is an effective anomaly detection method when data follows a normal distribution, it is possible to discriminate defects with a small number of defective samples.

Citation Download Citation

Shunsuke Nakatsuka, Hiroaki Aizawa, and Kunihito Kato "Defective products detection using adversarial AutoEncoder", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110490U (22 March 2019); https://doi.org/10.1117/12.2521371

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available