• Journal of Korean Ophthalmic Optics Society
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• v.19 no.2
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• pp.231-237
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• 2014

Purpose: This study is research of the conditions which causes difference between the refractive power of the measurement of autorefractometer and the prescription using phoropter. Methods: Autorefractometer (SR-7000) and phoroptor (AV-9000) were used to measure 60 eyes of 30 participants who had no eye diseases and wore the corrective lens due to Ametropia. To prevent the dependence of the prescription value of the refractive power on the testers, two testers measured the refractive power of the eyes of the participants at the same measuring conditions. Results: Statistically, the prescribed values of the refractive power by two testers were not significantly different. Most of the prescribed values of the refractive power were smaller than the refractive power by autorefractometer In case of myopic eyes, the difference between refractive powers by the measurement of autorefractometer and the prescription using phoropter showed the trend of increase as the spherical refractive power became larger. The result was analyzed by the range of the different cylindrical refractive power for the myopic astigmatic eyes. In this case, the difference between refractive powers showed the trend of decrease as the cylindrical refractive power became larger. Conclusions: No difference between the prescribed value by two testers was observed. In case of myopic or myopic astigmatic eyes, the difference between refractive powers by autorefractometer and the prescription were measured to be approximately proportional to the refractive powers of ametropic eyes. As the this difference become larger for the participant who needs the lens of larger refractive power, additional caution is needed in the prescription of the refractive power of the corrective lens.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1384-1390
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• 2019

This paper proposes a technological solution for improving the recognition direction of target objects for automatic vision inspection by machine vision. This paper proposes a technological solution for improving the recognition direction of target objects for automatic vision inspection by machine vision. This enables the automatic machine vision inspection to detect the image of the inspection object regardless of the position and orientation of the object, eliminating the need for a separate inspection jig and improving the automation level of the inspection process. This study develops the technology and method that can be applied to the wire harness manufacturing process as the inspection object and present the result of real system. The results of the system implementation was evaluated by the accredited institution. This includes successful measurement in the accuracy, detection recognition, reproducibility and positioning success rate, and achievement the goal in ten kinds of color discrimination ability, inspection time within one second and four automatic mode setting, etc.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.599-602
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• 2010

조절반응의 평가는 옵토메트리 검사의 중요한 일부분이다. 본 연구는 조절반응의 타각적인 검사방법인 자동굴절계와 MEM 검영법 및 Nott 동적검영법으로 측정한 검사결과의 상관성과 차이를 비교하고자 하였다. 본 연구의 취지에 동의하는 19~29사이(평균나이 22.22${\pm}$2.43세)의 정상시력을 가진 27명의 대학생을 선정하여 4D(25cm)의 조절자극이 주어진 상태에서 자동굴절계(Shin-Nippon NVision-K 5001)와 MEM 검영법 및 Nott 동적검영법을 실시하여 조절 반응을 측정하였다. 4D의 조절자극에 대한 조절반응은 자동굴절계(Shin-Nippon NVision-K 5001) 3.70${\pm}$0.25D, MEM 검영법 3.58${\pm}$0.30D 그리고 Nott 동적검영법 3.77${\pm}$0.29D로 각각 측정되었다. 3가지 검사는 상호간에 높은 상관성이 있었다(p<0.05). MEM 검영법은 Nott 동적검영법보다 0.19${\pm}$0.13D 더 낮게 측정되었고(p<0.05), 자동굴절계(Shin-Nippon NVision-K 5001) 보다 0.12${\pm}$0.24D 더 낮게 측정되었다(p<0.05). Nott 동적검영법과 자동굴절계(Shin-Nippon NVision-K 5001)로 측정한 값은 유의한 차이가 없었다(p>0.05). MEM 검영법으로 측정한 조절반응은 Nott 동적검영법이나 자동굴절계로 측정한 값보다 더 낮았다. 저자는 조절반응을 평가할 때, MEM 검영법을 제외한 Nott 동적검영법과 자동굴절계(Shin-Nippon NVision-K 5001)는 상호 대체하여 사용할 수 있다고 주장한다.

• 전자공학회논문지 IE
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• v.48 no.1
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• pp.16-24
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• 2011

In this paper, we developed a auto sorting system for T type welding nut using a vision inspector. We used edge and thread detection with histogram of image which is captured by machine vision camera. We also used a binary morphology operation for a detection of spot. As a result we performed numeric inspection of 0.1mm accuracy. This is impossible in old sorting system and inspector with naked eye. Also, we reduced the manufacturing unit cost to 25% and improved a production efficiency to 330%.

• The Journal of the Korea Contents Association
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• v.6 no.6
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• pp.1-8
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• 2006

This paper presents an intelligent pattern matching method that can be used to acquire the reliable calibration data for automatic PCB pattern inspection. The inaccurate calibration data is often acquired by geometric pattern variations and selecting an inappropriate model manual. It makes low the confidence of inspection and also the inspection processing time has been delayed. In this paper, the geometric features of PCB patterns are utilized to calculate the accurate calibration data. An appropriate model is selected automatically based on the geometric features, and then the calibration data to be invariant to the geometric variations(translation, rotation, scaling) is calculated. The method can save the inspection time unnecessary by eliminating the need for manual model selection. As the result, it makes a fast, accurate and reliable inspection of PCB patterns.

• The KIPS Transactions:PartA
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• v.11A no.4
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• pp.235-242
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• 2004

When manufacturing information and communication device that consists of lots of part, it is important to improve the quality of the produced system by inspecting the system accurately and exclude the defected part. In case of LCD which is recently in a great demand, the inspection process of the nut which bonds the back frame to protect the LCD panel has to be done by human labor. It highly required an automatic inspection system which can inspect the nut without wasting human resources. In this paper, we describe the process of developing a system which automatically inspect the status of nuts inserted during the manufacturing of LCD. The nut inspection vision system developed measures the number of nut's spiral, the distance between pitches, the width of a pitch, and the inside diameter of nut. We have adopted lens with high magnifying power and calibration tool and intended to produce automatic lighting for maintaining a stable environment for a high precision system. We also developed the algorithms for analyzing the nut. We apply the system to real factory field and verify that it is better than the man power in terms of error rate.

• Journal of Korean Ophthalmic Optics Society
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• v.11 no.4
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• pp.293-298
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• 2006

For this study, Clinical evaluation of the diverse Autorefractors was performed to examine validity and repeatability compared with subjective refraction. Measurements of refractive error were performed on 212 eyes of 106 subjects subjectivly noncycloplegic. Intersession repeatability of the Autorefractors were also assessed on all 106 subjects together with intersession repeatability on 7 to 14 days intervals. Spherical powers of subjective refraction and autorefractions by Autorefractors were analyzed by paired T-test.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.46 no.2
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• pp.22-27
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• 2009

In this paper, an automatic functional inspection system EVT (Emulated Vision Tester) for LCD drive module PCB has been proposed and implemented. Typical automatic inspection system such as probing methods and vision-based systems are widely known and used, however, there exist undetectable defects due to critical timing factors which they may miss to catch from LCD equipments. Especially typical vision-based systems have inconsistency on acquisition of images so that distinction between gray scales can be difficult which results in low level of performance and reliability on the inspection results. The proposed EVT system is pure hardware solution. It directly compares pattern signals from a pattern generator to output signals from LCD drive module. It also inspects variety of analog signals such as voltage, resistance, wave forms and so forth. The EVT system not only shows high performance in terms of reliability and processing speed but reduces costs on inspection and maintenance. Also, full automation of entire production line can be realized when EVT is applied in in-line inspection processes.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.843-844
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• 2006

다채널 스피커를 위한 자동검사 시스템은 아날로그 음향신호를 디지털로 바꾸고 이를 시리얼로 전송한 후 각각의 스피커를 통해서 출력하는 다채널음향 신호의 시리얼 전송기술을 기반으로 한다. 각각의 스피커에는 소형 진동 센서가 장치되어 있어 출력되는 음향신호의 이상 유무를 판별하여 스피커의 방송 상태를 자동으로 검사할 수 있다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.273-284
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• 1995

카메라를 통하여 얻은 영상자료로부터 대상물의 특징을 추출하여 검사에 응용하는 자동검사기법의 수요가 늘고 있다. 본 연구에서는 그러한 자동검사의 실예로서 접속 케이블(wire hardness)의 색깔인식을 이용한 양/불량을 구별하는 시스템을 구축하였다. 색깔인식을 위한 도구로서 입력층, 1개의 은닉층 및 출력층으로 이루어진 2층 구조의 역전파신경망(back-propagation neural network)을 사용하였다. 입력자료로는, 화상에서 케이블의 위치를 파악하고 그 케이블에 속한 화소로부터 필요한 정보(Y, U, V)를 추출한 후, 보다 변별력이 좋은 (L, a, b) 좌표계로 변환하여 사용하였다. 본 검사시스템은 인식속도를 향상시키기 위하여 영상정보를 프레임 버퍼(frame buffer)에서 직접 사용하고 자료의 검사과정을 극소화 하였기 때문에 불량품의 실시간 검출이 가능하다. 불량품 검출의 성능을 평가하기 위하여 실제 표본을 가지고 시스템의 성능을 평가한 결과, 양/불량의 인식율이 100%를 나타내어 약간의 성능보완이 이루어지면 현장에서 바로 활용할 수 있을 것으로 판단된다.