• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1550-1552
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• 2005

In this paper, we have designed a Fingerprint Recognition System based on the Embedded LINUX. The fingerprint is captured using the AS-S2 semiconductor sensor. To extract a feature vector we transform the image of the fingerprint into a column vector. The image is row-wise filtered with the low-pass filter of the Haar wavelet. The feature vectors of the different fingerprints are compared by computing with the probabilistic neural network the distance between the target feature vector and the stored feature vectors in advance. The system implemented consists of a server PC based on the LINUX and a client based on the Embedded LINUX. The client is a Tynux box-x board using a PXA-255 CPU. The algorithm is simple and fast in computing and comparing the fingerprints.

• IEMEK Journal of Embedded Systems and Applications
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• v.7 no.4
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• pp.173-179
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• 2012

In this paper, we propose an efficient architecture for 2D IWT using an existing 1D IWT. Lifting based IWT is the architecture of which a multiplier is replaced by adders and shift registers. The structure is relatively simple and modular. The proposed architecture to process an image size with 256x256 pixels consists of 16 adders, 8 shift registers, and some memories. By processing two rows at the same time, 2D sub-band coefficients can be calculated immediately after 1D sub-band coefficients have been processed. The architecture is designed so that each image can be inputted consecutively. The number of adders and shift registers is increased by twice comparing the existing architecture, but the memory size and the execution time are decreased by half. The proposed architecture is implemented using Verilog-HDL and simulated using iSim. It is synthesized and demonstrated at ISE for xc5vlx330 in RPS3K board.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.204-206
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• 2005

In this paper, we have designed a Fingerprint Recognition System based on the Embedded LINUX. The fingerprint is captured using the AS-S2 semiconductor sensor. To extract a feature vector we transform the image of t10he fingerprint into a column vector. The image is row-wise filtered with the low-pass filter of the Haar wavelet. The feature vectors of the different fingerprints are compared by computing with the probabilistic neural network the distance between the target feature vector and the stored feature vectors in advance. The system implemented consists of a server PC based on the LINUX and a client based on the Embedded LINUX. The client is a Tynux box-x board using a PXA-255 CPU. The algorithm is simple and fast in computing and comparing the fingerprints.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.355-357
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• 2005

The distance between objects and a service robot can be measured by stereo vision system, but the two cameras need the same number of image grabber boards. In this paper, an approach to measure the distance is presented by using one camera which moves horizontally via motor position control. Images are captured at two different places where we know, and distance calculation is performed with the images and the camera position data. With a simple algorithm the proposed system requires only one image grabber board and no camera sequence controls are necessary, which resuces the system costs.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.04a
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• pp.543-548
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• 2000

In this study, an interactive programming method for robot in electronic part assembly task is proposed. Many of industrial robots are still taught and programmed by a teach pendant. The robot is guided by a human operator to the desired application locations. These motions are recorded and are later edited, within the robotic language using in the robot controller, and play back repetitively to perform robot task. This conventional teaching method is time-consuming and somewhat dangerous. In the proposed method, the operator teaches the desired locations on the image acquired through CCD camera mounted on the robot hand. The robotic language program is automatically generated and downloaded to the robot controller. This teaching process is implemented through an off-line programming software. The OLP is developed for an robotic assembly system used in this study. In order to transform the location on image coordinates into robot coordinates, a calibration process is established. The proposed teaching method is implemented and evaluated on an assembly system for soldering electronic parts on a circuit board. A six-axis articulated robot executes assembly task according to the off-line teaching in the system.

• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.525-528
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• 2002

This study describes an implementation of object tracking algorithm on FPGA. The global system detect the zone there is more motion in, attending to the generated optical flow, and centers its attention to it to improve the details In this case, To obtain image in Camera, Image aquisition board make use of SAA7113 Video Input processor and algorithm is applied to motion estimation and difference picture. Also, This work can be applied kalman filter to reliability of tracking.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2001.06a
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• pp.149-152
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• 2001

The goals of this papper are not only to maximize of performance but also to reduce the response time for the real-time printed alphabets recognition system using the backpropagation algorithm in the artificial neural network. The Genesis board and MIL(Matrox Image Library) package were used to real-time acquisition, processing and display of images. Through this experiment proved the possibility of real-time recognition processing by comparing response times of the system and proposing the method to reduce of order of the output vectors.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.3230-3232
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• 2000

DR (Digital Radiography) system will be the best candidate for next generation x-ray diagnosis system. DR system will replace x-ray film by computer monitor and provide various merits like reduced processing time, easy recording, remote diagnosis and etc. In this paper, we propose the pre-processing algorithm which is designed to compensate dead and defected pixel for x-ray detector panel. We also designed DSP(Digital Signal Processor) based DR image processing board for real-time processing of suggested algorithm.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2008.05a
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• pp.86-89
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• 2008

In this paper, bus station design is presented as a component of public design to develop the integrated city public image of Daejeon Metropolitan City through the study of city characteristics and the direction of future development. Design concept is the mutual understanding of public image and human centered sense, and comfortable bus station which is correspond with future development direction and applicable for digital informationization is selected. Design components are bus shelter, information board, bench, vending machine, a wastebasket, billboards and so forth.

• Journal of Korean Institute of Industrial Engineers
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• v.24 no.3
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• pp.397-406
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• 1998

The purpose of this research is to develop an integrated quality inspection system using machine vision technology in the automotive engine assembly process. The system makes it possible for the inspected data to be entered directly from the machine vision system into the developed system without the need for intermediate operations. Such direct entry enables prompt corrective actions against process problems. An IVP-150 machine vision board is installed an the PC for image processing, and a template matching technology is implemented to precisely verify quality factors. The developed system is successfully installed in a manufacturing process, and it showed robustness to the problems of noise, distortion, and orientation.