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Proceedings Paper

Performance prediction of optical image stabilizer using SVM for shaker-free production line
Author(s): HyungKwan Kim; JungHyun Lee; JinWook Hyun; Haekeun Lim; GyuYeol Kim; HyukSoo Moon
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Paper 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.

Paper Details

Date Published: 29 April 2016
PDF: 8 pages
Proc. SPIE 9896, Optics, Photonics and Digital Technologies for Imaging Applications IV, 989610 (29 April 2016); doi: 10.1117/12.2209001
Show Author Affiliations
HyungKwan Kim, LG Innotek (Korea, Republic of)
JungHyun Lee, LG Innotek (Korea, Republic of)
JinWook Hyun, LG Innotek (Korea, Republic of)
Haekeun Lim, LG Innotek (Korea, Republic of)
GyuYeol Kim, LG Innotek (Korea, Republic of)
HyukSoo Moon, LG Innotek (Korea, Republic of)


Published in SPIE Proceedings Vol. 9896:
Optics, Photonics and Digital Technologies for Imaging Applications IV
Peter Schelkens; Touradj Ebrahimi; Gabriel Cristóbal; Frédéric Truchetet; Pasi Saarikko, Editor(s)

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