• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.558-561
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• 2002

A CCD camera with a laser strip was applied to realize the automation of welding Process in GMAW. It takes relatively long time to process image on-line control using the basic Hough transformation, but it has a tendency of robustness over the noise such spatter and arc light. The adaptive Hough transformation was used to extract the laser stripe and to obtain specific weld points In this study, a neural network based on the generalized delta rule algorithm was adapted for the process control of GMA, such as welding speed, arc voltage and wire feeding speed.

• Transactions of the Society of Information Storage Systems
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• v.10 no.1
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• pp.27-31
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• 2014

Optical Archive system consists of cartridge, drive and transfer robot. Transfer robot moves disc in cartridge to drive that reads data of disc. Distance between disc in cartridge and transfer robot very short, about 4mm. When disc projects, there is a danger of collision. Collision can cause breakage of disc and breakdown of system. To prevent collision of disc and transfer robot, projection of disc should be detected. In this paper, we proposed error monitoring method of projecting disc in archive data storage using camera. Proposed algorithm is evaluated by experiments with archive system.

• Journal of the Korea Society of Computer and Information
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• v.21 no.2
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• pp.17-23
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• 2016

NUI is a motion interface. It uses the body of the user without the use of HID device such as a mouse and keyboard to control the device. In this paper, we use a Pi Camera and sensors connected to it with small embedded board Raspberry Pi. We are using the OpenCV algorithms optimized for image recognition and computer vision compared with traditional HID equipment and to implement a more human-friendly and intuitive interface NUI devices. comparison operation detects motion, it proposed a more advanced motion sensors and recognition systems fused connected to the Raspberry Pi.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.4
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• pp.346-352
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• 2011

This paper presents a system of road extraction for traffic images from a single camera. The road in the images is subject to large changes in appearance because of environmental effects. The proposed system is based on the integration of color correlograms and random forest. The color correlogram depicts the color properties of an image properly. Using the random forest, road extraction is formulated as a learning paradigm. The combined effects of color correlograms and random forest create a robust system capable of extracting the road in very changeable situations.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.319-320
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• 2006

In this paper, we propose a vision based system employing two cameras to provide effective touch screen function. The two main processes - determining touch (or no-touch) and contact location of screen plane - are essential for enabling touch screen function. First region of interest is found by using color characteristic and histogram for determining the contact mode. Second, if the hand touches the mirror, the fingertip point in image is found using the correlation coefficient based on the mirror attribute. Subsequently, the fingertip coordinate in image is transformed to the location in mirror plane by using four predefined points (termed as four-point method) and bilinear transform. Representative experimental results show that the proposed system is suited to touch screen.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.1067-1068
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• 2015

자동차 부품생산 시 발생할 수 있는 다양한 결함을 생산 공정 중에 결함을 발견하는 것은 사후 비용절감 부분에서 매우 중요하다. 특히 플라스틱과 같은 사출성형(injection molding) 경우 흠집(scratch) 및 미성형이 빈번하게 발생되어 납기지연에 주 원인이 되고 있다. 본 논문에서는 LabView 기반의 비젼시스템(vision system)을 활용하여 플라스틱 제품에 발생할 수 있는 다양한 결함을 검출할 수 있는 검출시스템을 개발하고자 한다. 또한 발생된 결함을 DB 화하여 결함 원인을 분석할 수 있는 데이터를 확보하고, 불량률을 줄여 생산 공정을 개선하고자 한다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.2
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• pp.429-435
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• 2010

Three dimensional (3-D) object detection and pose estimation from a single view query image has been an important issue in various fields such as medical applications, robot vision, and manufacturing automation. However, most of the existing methods are not appropriate in a real time environment since object detection and pose estimation requires extensive information and computation. In this paper, we present a fast 3-D object detection and pose estimation scheme based on surrounding camera view-changed images of objects. Our scheme has two parts. First, we detect images similar to the query image from the database based on the shape feature, and calculate candidate poses. Second, we perform accurate pose estimation for the candidate poses using the scale invariant feature transform (SIFT) method. We earned out extensive experiments on our prototype system and achieved excellent performance, and we report some of the results.

• Annual Conference of KIPS
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• 2016.04a
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• pp.716-718
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• 2016

본 연구는 차량이 정차해 있거나 차량을 후진하여 이동시키고자 할 때 운전자의 시야에 보이지 않는 차량의 후방 좌 우측에서 접근하는 차량 또는 보행자와 같은 움직임을 가지는 물체와 충돌을 회피하기 위한 방법에 관한 연구이다. 해당 물체와 충돌을 피하기 위해서는 후방의 영상을 획득하여 움직임을 가진 물체를 식별하고 차량과의 거리, 속도 및 충돌 가능성을 계산할 수 있어야 한다.

• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2405-2407
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• 1998

Implementation of a process control language for a pager manufacturing is dealt in this paper. The pager manufacturing process is consisted of a tune and an exam part. In the tune part, three capacitor trimmers are tuned to optimize the state of the pager. In the exam part, message receiving status with the arbitrary calling is tested using a vision system. The program has the ability to reuse the address discarded in the exam part when the, pager testing is not working properly even though there exist the processing gaps between two processes. The system is composed of a personal computer(PC586) and TEM-cells, Flex pager testers, an oscilloscope, a camera, and actuators. Visual Basic running on the Windows 95 is used to implement the control software which has the GUI to make an operator convenient. The validity of applying the completed program to practical machines, which are developing in the KITECH, is shown by using the virtual machine.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2296-2298
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• 2000

Fuzzy control has been researched for application of industrial processes which have no accurate mathematical model and could not controlled by conventional methods because of a lack of quantitative input-output data. Intelligent control approach based on fuzzy logic could directly reflex human thinking and natural language to controller comparing with conventional methods. In this paper, fuzzy controller is implemented to acquire operator's knowledge. The tested system is constructed for sending a ball to the goal position using wind from two DC motors in the path. This system contains non-linearity and uncertainty because of the characteristic of aerodynamics inside the path. Ball position is measured by a vision camera. The system used in this experiment could be hardly modeled by mathematic methods and could not be easily controlled by linear control manners. The controller, in this paper is designed based on the input-output data and experimental knowledge obtained by trials.