• Title/Summary/Keyword: Embedded linux

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A Network processor based Flexible IED Platform (유연 IED를 위한 Network processor 플랫폼)

  • Jeon, Hyeon-Jin;Lee, Wan-Gyu;Chang, Tae-Gyu
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.913-914
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    • 2006
  • This paper proposes a flexible IED platform which is implemented with a network processor and a DSP. DSP algorithms are downloaded through the embedded Linux based network processor remotely from ethernet. This architecture gives the best flexibility to adaptively accommodate the various algorithms needed in the IED environment. The developed IED platform can simultaneously measure data of the maximum of forty channels. The developed IED platform shows the successful operation, which measures and transfers the 8 channels data of 16bit samples sampled at 3.84kHz per each channel. The detailed performance analysis of the developed IED platform shows the about 10% processing load of CPU running at 533MHz.

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Implementation of Bluetooth-VoIP Integration System Based Embedded Linux (RTOS 리눅스 환경에서의 Bluetooth-VoIP 통합 시스템 구현)

  • Yun, Jung-Mee;Cho, We-Duke;Kim, Dae-Hwan;Lee, Sang-Hak;Kim, Yong-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.11b
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    • pp.1371-1374
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    • 2002
  • 본 논문에서는 내장형 리눅스를 기반으로 무선 네트웍과 실시간 음성처리 VoIP 와의 연동시스템을 설계 구현한다. 설계 구현하는 시스템의 하드웨어 스펙은 Motorola-XPC860 프로세서를 기반으로 설계되었으며, 음성 코덱칩을 사용하여 실시간으로 음성데이터를 처리하도록 설계하였다. 또한 2.4GHz 무선 통신 규약인 Bluetooth 를 무선 네트웍 인터페이스로 사용하였다. 실시간 음성데이터의 효과적인 처리를 위하여 실시간 운영 체제인 RTLinux 를 사용하였으며, 무선 네트워크의 동시다중 서비스 지원을 위해 커널레벨의 문자 디바이스 형태로의 Bluetooth 인터페이스 구현에 대해 살펴보도록 하겠다.

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PCB Defects Detection using Connected Component Classification (연결 성분 분류를 이용한 PCB 결함 검출)

  • Jung, Min-Chul
    • Journal of the Semiconductor & Display Technology
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    • v.10 no.1
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    • pp.113-118
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    • 2011
  • This paper proposes computer visual inspection algorithms for PCB defects which are found in a manufacturing process. The proposed method can detect open circuit and short circuit on bare PCB without using any reference images. It performs adaptive threshold processing for the ROI (Region of Interest) of a target image, median filtering to remove noises, and then analyzes connected components of the binary image. In this paper, the connected components of circuit pattern are defined as 6 types. The proposed method classifies the connected components of the target image into 6 types, and determines an unclassified component as a defect of the circuit. The analysis of the original target image detects open circuits, while the analysis of the complement image finds short circuits. The machine vision inspection system is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiment results show that the proposed algorithms are quite successful.

Character Segmentation in a Grayscale Image using the Standard Deviation (그레이스케일 영상에서 표준 편차를 이용한 문자 분할)

  • Jung, Min Chul
    • Journal of the Semiconductor & Display Technology
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    • v.11 no.2
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    • pp.27-31
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    • 2012
  • This paper proposes a new method of character segmentation in a grayscale image using the standard deviation. Firstly, the proposed method scans vertically the region of interest in an image in order to calculate a standard deviation for each scan line. Characters' standard deviations are much bigger than the background's. Therefore, it is possible to segment characters vertically using the differentiation of those two types of standard deviations. Secondly, the method scans each vertically segmented image horizontally at this time, and then segments each image similarly. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiments were conducted by using credit card images. The results show that the proposed algorithm is quite successful for most credit cards. However, the method fails in some credit cards with strong background patterns.

Traffic Signal Detection and Recognition in an RGB Color Space (RGB 색상 공간에서 교통 신호등 검출과 인식)

  • Jung, Min-Chul
    • Journal of the Semiconductor & Display Technology
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    • v.10 no.3
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    • pp.53-59
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    • 2011
  • This paper proposes a new method of traffic signal detection and recognition in an RGB color model. The proposed method firstly processes RGB-filtering in order to detect traffic signal candidates. Secondly, it performs adaptive threshold processing and then analyzes connected components of the binary image. The connected component of a traffic signal has to be satisfied with both a bounding box rate and an area rate that are defined in this paper. The traffic signal recognition system is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiment results show that the proposed algorithms are quite successful.

Optical Recognition of Credit Card Numbers (신용카드 번호의 광학적 인식)

  • Jung, Min Chul
    • Journal of the Semiconductor & Display Technology
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    • v.13 no.1
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    • pp.57-62
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    • 2014
  • This paper proposes a new optical recognition method of credit card numbers. Firstly, the proposed method segments numbers from the input image of a credit card. It uses the significant differences of standard deviations between the foreground numbers and the background. Secondly, the method extracts gradient features from the segmented numbers. The gradient features are defined as four directions of grayscale pixels for 16 regions of an input number. Finally, it utilizes an artificial neural network classifier that uses an error back-propagation algorithm. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiments were conducted by using real credit card images. The results show that the proposed algorithm is quite successful for most credit cards. However, the method fails in some credit cards with strong background patterns.

Image Enhancement of an Infrared Thermal Camera Using Edge Detection Methods (에지 검출 방법을 이용한 열화상 카메라의 영상 개선)

  • Jung, Min Chul
    • Journal of the Semiconductor & Display Technology
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    • v.15 no.3
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    • pp.51-56
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    • 2016
  • This paper proposes a new image enhancement method for an infrared thermal image. The proposed method uses both Laplacian and Prewitt edge detectors. Without a visible light, it uses an infrared image for the edge detection. The method subtracts contour images from the infrared thermal image. It results black contours of objects in the infrared thermal image. That makes the objects in the infrared thermal image distinguished clearly. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiments were conducted by using various infrared thermal images. The results show that the proposed method is successful for image enhancement of an infrared thermal image.

Infrared Image Enhancement Using A Histogram Partition Stretching and Shrinking Method (히스토그램 분할 펼침과 축소 방법을 이용한 적외선 영상 개선)

  • Jung, Min Chul
    • Journal of the Semiconductor & Display Technology
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    • v.14 no.4
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    • pp.50-55
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    • 2015
  • This paper proposes a new histogram partition stretching and shrinking method for infrared image enhancement. The proposed method divides the histogram of an input image into three partitions according to its mean value and standard deviation. The method stretches both the dark partition and the bright partition of the histogram, while it shrinks the medium partition. As the result, both the dark part and the bright part of the image have more brightness levels. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiments were conducted by using various infrared images. The results show that the proposed algorithm is successful for the infrared image enhancement.

Color Segmentation of Vehicle License Plates in the RGB Color Space Using Color Component Binarization (RGB 색상 공간에서 색상 성분 이진화를 이용한차량 번호판 색상 분할)

  • Jung, Min Chul
    • Journal of the Semiconductor & Display Technology
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    • v.13 no.4
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    • pp.49-54
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    • 2014
  • This paper proposes a new color segmentation method of vehicle license plates in the RGB color space. Firstly, the proposed method shifts the histogram of an input image rightwards and then stretches the image of the histogram slide. Secondly, the method separates each of the three RGB color components and performs the adaptive threshold processing with the three components, respectively. Finally, it combines the three components under the condition of making up a segment color and removes noises with the morphological processing. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiments were conducted by using real vehicle images. The results show that the proposed algorithm is successful for most vehicle images. However, the method fails in some vehicles when the body and the license plate have the same color.

Implementation of Muti-channel Serial Device of Embedded Linux System for Remote Control Monitoring System (원격 제어 모니터링 시스템을 위한 임베디드 리눅스 시스템의 다중 채널 직렬 장치 구현)

  • Park, Se-Hyun;Park, Se-Hun;Kim, Eung-Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.876-879
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    • 2005
  • 원격 제어 모니터링 시스템을 위한 임베디드 리눅스 시스템의 다중 채널 직렬 장치를 설계하였다. 제안된 장치는 다중 채널 직렬 장치의 효과적인 처리를 위한 내부에 FIFO, Sate Machine, 인터럽트를 구성하고 있으며 임베디드 리눅스에서 효과적인 디바이스 프로그램을 가능하게 한다. 다중 채널의 직렬 장치의 기존의 접근 방식은 개별 직렬 장치를 일일이 접근하고 있으나 본 장치에서는 다중 채널의 직렬 장치를 한 개의 직렬 장치로 간주하여 접근하는 것과 같은 효과를 볼 수 있다. 본 장치는 다중 채널 직렬 입출력 구동에 효율적으로 작용하며 기존의 다중 채널 직렬 장치 보다 접근 속도가 빠르다. 본 장치는 수질 측정과 같은 센서들 사이의 거리가 멀거나 센서와 모니터링 시스템의 사이의 거리가 먼 원격 제어 모니터링에 효과적이다.

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