• Proceedings of the Korean Society of Precision Engineering Conference
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• 2007.06a
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• pp.109-110
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• 2007

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.71-72
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• 2006

In this study, automatic assembly and evaluation system fer phone camera module is conceptually designed. The designed core(Auto focus & UV curing, Image Test) equipments adopts a clustering mechanism and compactible structure using index table for minimum tact time. Using a ball screw actuator and absolute encoder in each axis, we can verifies the repeatability and position accuracy of system within ${\pm}3{\mu}m$. In result of simulation test, the proposed system is expected up to 30% in productivity than manual operation.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.10a
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• pp.145-146
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• 2006

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.974-977
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• 2005

Automatic lens assembly system is used for automatically assembling the lens module of phone camera. In this paper, we are trying to develop the cluster type automatic lens assembly with standard tray for applying for assembly field directly. This paper proposes the principle of cluster type lens assembly system and the related assembly production line concept for optimal automatic lens production line.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1079-1082
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• 2005

This paper deals with the algorithm development that inspects defects such as Lens Focus, Focus check, Black Defect, Dark Defect, Dim Defect, Color Defect, and Line Defect, Angle Defect, IrisAgc Defect caused by the process of 2M Class Compact Camera Module (CCM). Domestic market was majorly comprised of VGA(0.3 million pixel) market. But in the middle of year 2004, camera phone with Mega Pixel has appeared, and it is estimated that the camera phone with Mega Pixel will take up to 28% of total phone sales if it is released in the end of year 2004. Since the inspection of finished products is done manually, it is major obstacle in production increment In this paper, to solve these problems, we developed the imaging processing algorithm to inspect the defects in captured image of assembled CCM. The performances of the developed inspection system and we can recognize various types of defect of CCM modules with good accuracy and high speed

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.06a
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• pp.671-672
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• 2009

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.11a
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• pp.673-674
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• 2008

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.387-388
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• 2012

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.10a
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• pp.413-414
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• 2012

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.1
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• pp.65-71
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• 2013

In this work, new smart phone based moving target detection is proposed. In order to implement the task, methods of real time image transmission from network camera, motion detecting algorithm and its effective implementation are also addressed. The network camera transfers image data by MJPEG format which contains various information such as data and IP address, and the smart phone separates the image data received through a WiFi module. Later, the image data is converted to a Bitmap image format, and with the help of the embedded OpenCV library on a smart phone and algorithm, it was found that the moving object was identified effectively in terms of real time monitoring and detection.