29 April 2016 Performance prediction of optical image stabilizer using SVM for shaker-free production line
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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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
HyungKwan Kim, HyungKwan Kim, JungHyun Lee, JungHyun Lee, JinWook Hyun, JinWook Hyun, Haekeun Lim, Haekeun Lim, GyuYeol Kim, GyuYeol Kim, HyukSoo Moon, 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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