Performance prediction of optical image stabilizer using SVM for shaker-free production line

HyungKwan Kim; JungHyun Lee; JinWook Hyun; Haekeun Lim; GyuYeol Kim; HyukSoo Moon

doi:10.1117/12.2209001

29 April 2016 Performance prediction of optical image stabilizer using SVM for shaker-free production line

HyungKwan Kim, JungHyun Lee, JinWook Hyun, Haekeun Lim, GyuYeol Kim, HyukSoo Moon

Proceedings Volume 9896, Optics, Photonics and Digital Technologies for Imaging Applications IV; 989610 (2016) https://doi.org/10.1117/12.2209001
Event: SPIE Photonics Europe, 2016, Brussels, Belgium

Abstract

Recent smartphones adapt the camera module with optical image stabilizer(OIS) to enhance imaging quality in handshaking conditions. However, compared to the non-OIS camera module, the cost for implementing the OIS module is still high. One reason is that the production line for the OIS camera module requires a highly precise shaker table in final test process, which increases the unit cost of the production. In this paper, we propose a framework for the OIS quality prediction that is trained with the support vector machine and following module characterizing features : noise spectral density of gyroscope, optically measured linearity and cross-axis movement of hall and actuator. The classifier was tested on an actual production line and resulted in 88% accuracy of recall rate.

Citation Download Citation

HyungKwan Kim, JungHyun Lee, JinWook Hyun, Haekeun Lim, GyuYeol Kim, and HyukSoo Moon "Performance prediction of optical image stabilizer using SVM for shaker-free production line", Proc. SPIE 9896, Optics, Photonics and Digital Technologies for Imaging Applications IV, 989610 (29 April 2016); https://doi.org/10.1117/12.2209001

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