29 April 2016 Performance prediction of optical image stabilizer using SVM for shaker-free production line
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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.
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HyungKwan Kim, JungHyun Lee, JinWook Hyun, Haekeun Lim, GyuYeol Kim, 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); doi: 10.1117/12.2209001; https://doi.org/10.1117/12.2209001
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KEYWORDS
Gyroscopes

Actuators

Image quality

Image quality

Cameras

Calibration

Feature extraction

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