• 제어로봇시스템학회:학술대회논문집
• /
• 1993.10a
• /
• pp.244-249
• /
• 1993

This paper proposes a method of automatic function test for parts mounted Printed Circuit Board. For this purpose, we designed a Data Acquisition Equipment, PC interface card and inspection software. The experiment was done for the coffee vending machine and its result was good.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1996.11a
• /
• pp.485-489
• /
• 1996

In this paper, an automatic gear inspection system has been developed using the computer aided vision system. Image processing and data analysis algorithms for gear inspection have been investigated and were shown to perform quickly with high accuracy. As a result, dimensions of a gear can be measured upto few micrometer size in real time. In addition, the system can be applied to a practical manufacturing process even under noisy conditions.

• IE interfaces
• /
• v.9 no.1
• /
• pp.73-82
• /
• 1996

The purpose of this research is to construct real-time image acquisition system for a line-scan inspection system as a computer vision system. To construct the line-scan inspection system, many problem arise. However, problems of image acquisitions using linear CCD are practically studied in this paper. These problems are concerned to proper lighting systems, relations with handling system, camera systems, and impacts due to the noise of environment. These problems are examined separately, and proper configurations for each case are suggested to construct the line-scan image acquisition system.

• 한국정보디스플레이학회:학술대회논문집
• /
• 2007.08a
• /
• pp.286-289
• /
• 2007

We have developed an automated circuit defect inspection and repair method that can be used to improve the yield ratio of TFT-LCD. The method focuses on correcting resist patterns after the development process to ensure shape regularity. We built a prototype system and confirmed that the method is valid.

• Proceedings of the Optical Society of Korea Conference
• /
• 2008.07a
• /
• pp.403-404
• /
• 2008

This report described the development of Vision Inspector program which can simulate numerically the image acquisition process of Machine Vision System for automatic optical inspection of any products. The program consists of an illuminator, a product to be inspected, and a camera with image sensor, and the final image obtained by ray tracing.

• Journal of Institute of Control, Robotics and Systems
• /
• v.14 no.5
• /
• pp.432-437
• /
• 2008

This paper proposes a defect cell extraction algorithm for TFT-LCD auto-repair system. Auto defect search algorithm and automatic defect cell extraction method are very important for TFT-LCD auto repair system. In the previous literature[1], we proposed an automatic visual inspection algorithm of TFT-LCD. Based on the inspected information(defect size and defect axis, if defect exists) by the automatic search algorithm, defect cells should be extracted from the input image for the auto repair system. For automatic extraction of defect cells, we used a novel block matching algorithm and a simple filtering process in order to find a given reference point in the LCD cell. The proposed defect cell extraction algorithm can be used in all kinds of TFT-LCD devices by changing a stored template which includes a given reference point. Various experimental results show the effectiveness of the proposed method.

• Journal of Broadcast Engineering
• /
• v.18 no.4
• /
• pp.525-534
• /
• 2013

Recently, mura defect inspection techniques are receiving attention in LCD production procedure since demands of TFT-LCD are growing. In this paper, we propose an automatic mura defect inspection method using gabor wavelet transform and DCT. First, we generate a reference panel image using DCT based method. For original panel image and generated reference panel image, we apply a gabor wavelet transform to eliminate texture information in images. Then, we extract mura defect regions from the difference image between gabor wavelet transform image of original panel and generated reference panel image. Finally, all mura defect regions are quantified to detect accurate mura defects. Experimental results show that our method is more accurate and efficient than previous methods.

• Journal of the Korean Society for Precision Engineering
• /
• v.15 no.12
• /
• pp.7-13
• /
• 1998

In this paper, an automatic ball-stud inspection system has been developed using the computer-aided vision system. Index table has been used to get the rapid measurement and multi-camera has been used to get the high resolution in physical system. Camera calibration was suggested to perform the reliable inspection. Image processing and data analysis algorithms for ball stud inspection system have been investigated and were performed quickly with high accuracy. As a result, inspection system of a ball stud could be used with a high resolution in real time.

• Proceedings of the Korea Concrete Institute Conference
• /
• 2009.05a
• /
• pp.561-562
• /
• 2009

The needs for inspection automation for more systematic and efficient maintenance were gradually increased by several inspectors and researchers. With the robotic and digital image processing technologies, in this paper, new inspection automation system were introduced and tested in the real PSC box crack inspection procedures The configuration and scheme of robotic inspection and digital image processing algorithms were represented. The designed robotic sensors and image processing system were tested and the feasibility and possibility of the robot based automatic inspection were approved in the real PSC box bridges.

• 제어로봇시스템학회:학술대회논문집
• /
• 2000.10a
• /
• pp.171-171
• /
• 2000

We have developed m innovative surface inspection system for automated quality control for steel products in POSCO. We had ever installed the various kinds of surface inspection systems, such as a linear CCD and a laser typed surface inspection systems at cold rolled strips production lines. But, these systems cannot fulfill the sufficient detection and classification rate, and real time processing performance. In order to increase detection and classification rate, we have used the Dark, Bright and Transition Field illumination and area type CCD camera, and fur the real time image processing, parallel computing has been used. In this paper, we introduced the automatic surface inspection system and real time image processing technique using the Object Detection, Defect Detection, Classification algorithms and its performance obtained at the production line.