• Title/Summary/Keyword: camera image

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Implementation of Line Scan Camera based Training Equipment for Technical Training of Automated Visual Inspection System (자동 시각 검사 시스템 기술훈련을 위한 라인스캔 카메라 기반의 실습장비 제작)

  • Ko, Jin-Seok;Mu, Xiang-Bin;Rheem, Jae-Yeol
    • Journal of Practical Engineering Education
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    • v.6 no.1
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    • pp.37-42
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    • 2014
  • The automated visual inspection system (machine vision system) for quality assurance is important factory automation equipment in the manufacturing industries, such as display, semiconductor, etc. There is a lot of demand for the machine vision engineers. However, there are no technical training courses for machine vision technologies in vocational schools, colleges and universities. In this paper, we present the implementation of line scan camera based equipment for technical training of the automated visual inspection system. The training system consists of the X-Y stage which is widely used in machine vision industries and its variable image resolution are set to $10-30{\mu}m$. Additionally, this training system can attach the industrial illumination, either the direct illuminator or coaxial illuminator, for verifying the effect of illuminations. This means that the trainee can have a practical training in various equipment conditions and the training system is similar to the automated visual inspection system in industries.

Moving Object Extraction and Relative Depth Estimation of Backgrould regions in Video Sequences (동영상에서 물체의 추출과 배경영역의 상대적인 깊이 추정)

  • Park Young-Min;Chang Chu-Seok
    • The KIPS Transactions:PartB
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    • v.12B no.3 s.99
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    • pp.247-256
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    • 2005
  • One of the classic research problems in computer vision is that of stereo, i.e., the reconstruction of three dimensional shape from two or more images. This paper deals with the problem of extracting depth information of non-rigid dynamic 3D scenes from general 2D video sequences taken by monocular camera, such as movies, documentaries, and dramas. Depth of the blocks are extracted from the resultant block motions throughout following two steps: (i) calculation of global parameters concerned with camera translations and focal length using the locations of blocks and their motions, (ii) calculation of each block depth relative to average image depth using the global parameters and the location of the block and its motion, Both singular and non-singular cases are experimented with various video sequences. The resultant relative depths and ego-motion object shapes are virtually identical to human vision.

Fast Defect Detection of PCB using Ultrasound Thermography (초음파 서모그라피를 이용한 빠른 PCB 결함 검출)

  • Cho Jai-Wan;Seo Yong-Chil;Jung Seung-Ho;Kim Seungho;Jung Hyun-Kyu
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.2
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    • pp.68-71
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    • 2006
  • Active thermography has been used for several years in the field of remote non-destructive testing. It provides thermal images for remote detection and imaging of damages. Also, it is based on propagation and reflection of thermal waves which are launched from the surface into the inspected component by absorption of modulated radiation. For energy deposition, it use external heat sources (e.g., halogen lamp or convective heating) or internal heat generation (e.g., microwaves, eddy current, or elastic wave). Among the external heat sources, the ultrasound is generally used for energy deposition because of defect selective heating up. The heat source generating a thermal wave is provided by the defect itself due to the attenuation of amplitude modulated ultrasound. A defect causes locally enhanced losses and consequently selective heating up. Therefore amplitude modulation of the injected ultrasonic wave turns a defect into a thermal wave transmitter whose signal is detected at the surface by thermal infrared camera. This way ultrasound thermography(UT) allows for selective defect detection which enhances the probability of defect detection in the presence of complicated intact structures. In this paper the applicability of UT for fast defect detection is described. Examples are presented showing the detection of defects in PCB material. Measurements are performed on various kinds of typical defects in PCB materials (both Cu metal and non-metal epoxy). The obtained thermal image reveals area of defect in row of thick epoxy material and PCB.

Visual textuality of stereoscopic 3D animation (3D 입체 애니메이션의 영상 특징에 대한 연구)

  • Jeon, Gyong-Ran
    • Cartoon and Animation Studies
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    • s.20
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    • pp.31-45
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    • 2010
  • Stereoscopic 3D animation contents are in the rise as a key part of contents market. Major animation studios are planning to produce 3D animations in a stereoscopic process. This study aims at understanding the visual textuality of 3D animation contents at its early stage. To understand 3D animation, , are analyzed. Stereoscopic 3D animations are exploring the new visual aesthetics using the specific storytelling, sequence ordering, camera working, shot size and camera angles etc. Based on these visual textualities, stereoscopic 3D animations are constructing telepresence, multi-senses of individual spectators. Stereoscopic 3D animations have formed their own aesthetics and cultural meanings in the digital age.

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Road Lane and Vehicle Distance Recognition using Real-time Analysis of Camera Images (카메라 영상의 실시간 분석에 의한 차선 및 차간 인식)

  • Kang, Moon-Seol;Kim, Yu-Sin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.12
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    • pp.2665-2674
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    • 2012
  • This paper propose the method to recognize the lanes and distance between cars in real-time which detects dangerous situations and helps safe driving in the actual road environment. First of all, it extracts the area of interest corresponding to roads and cars from the road image photographed by using the forward-looking camera. Through the hough transform for the area of interest, this study detects linear components and also selects the lane and conducts filtering by calculating probability. And through the shadow threshold analysis of the cars in front within the area of interest, it extracts the objects of cars in front and calculates the distance from cars in front. According to the result of applying the suggested technology to recognize the lane and distance between cars to the road situation for testing, it showed over 95% recognition rate; thus, it has been proved that it can respond to safe driving.

The analysis of the Effect the Minute Quantities of Infrared Rays that Were not Filtered by IR Cut-Off Filter has on Digital Images (IR Cut-Off Filter가 차단하지 못한 미량의 적외선이 디지털화상에 미치는 영향 분석)

  • Lee, Yong-Hwan;Park, Se-Won;Hong, Jung-Eui
    • The Journal of the Korea Contents Association
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    • v.11 no.5
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    • pp.205-215
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    • 2011
  • Films are sensitive to ultraviolet rays and in contrast, digital camera sensors are extremely sensitive to infrared rays due to the differences in spectral characteristics. As a result, all digital cameras that use CCD or CMOS are equipped with IR Cut-Off Filter on the overall sensor. Complete block out of infrared rays is ideal, but the actual experiment results showed that infrared rays were not being blocked out completely. Infrared permeability was also different for each camera. Therefore, this study aims to analyze the effect of the minute quantities of infrared rays, which get transmitted due to mechanical properties of IR Cut-Off Filters that are installed on digital cameras, on digital picture images. The results obtained by carrying out a comparative analysis of a UV Filter (infrared transmitting state) and a UV-IR Filter (infrared blocked out state) are as follows. It was confirmed that the minute quantities of infrared rays do affect dynamic range and resolution to some extent, despite the little or no difference in noise and color reproduction.

Work Environment Monitoring of Workers Using Wearable Sensor and Helmet (착용형 센서와 헬멧을 이용한 작업자의 작업환경 모니터링)

  • Gu, Ye-Jin;Kim, Jong-Jin;Chung, Wan-Young
    • Journal of the Institute of Convergence Signal Processing
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    • v.20 no.2
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    • pp.91-98
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    • 2019
  • Accidents of worker that occur in isolated places are difficult to rescue, unlike general construction accidents. There is a problem of communication limitation when an accident occurs in an isolated place. Also, it is difficult to search the accident place due to the absence of CCTV. In order to solve these problems, this paper proposes a device that combines IoT technology with a safety helmet, which must be worn in the workplace. The proposed device additionally designs and implements a real-time PPG(Photoplethysmography) sensor, body temperature sensor, accelerometer sensor and a camera sensor on the helmet. The proposed helmet system allows the user and the control center to monitor the state of the worker. In addition, when an abnormal biological signal or fall occurs to the worker, the image is transmitted to the control center. By using the proposed system, it is possible to check the status of the worker in real time, so that it has an advantage that it can cope with the accident quickly.

Development of a Fall Detection System Using Fish-eye Lens Camera (어안 렌즈 카메라 영상을 이용한 기절동작 인식)

  • So, In-Mi;Han, Dae-Kyung;Kang, Sun-Kyung;Kim, Young-Un;Jong, Sung-tae
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.4
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    • pp.97-103
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    • 2008
  • This study is to present a fainting motion recognizing method by using fish-eye lens images to sense emergency situations. The camera with fish-eye lens located at the center of the ceiling of the living room sends images, and then the foreground pixels are extracted by means of the adaptive background modeling method based on the Gaussian complex model, which is followed by tracing of outer points in the foreground pixel area and the elliptical mapping. During the elliptical tracing, the fish-eye lens images are converted to fluoroscope images. the size and location changes, and moving speed information are extracted to judge whether the movement, pause, and motion are similar to fainting motion. The results show that compared to using fish-eye lens image, extraction of the size and location changes. and moving speed by means of the conversed fluoroscope images has good recognition rates.

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Design Around Algorithm view Using wireless camera (무선 카메라를 이용한 어라운드 뷰 알고리즘 설계)

  • Kim, Gyu-Hyun;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.466-469
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    • 2013
  • Cars that are currently available to the operator to ensure convenience and safety for electronics devices now on the market supply is developed. The current car black box of electronics service, parking, is to help when reversing. The black box is necessary at the time of the accident. After-market through a lot of these are advertised. However, these products are known only to the rear or the front of the picture, as well, at the time of driving, the accident and the front left and right lateral images of the boundary of the car can not be confirmed. Electronics devices on the market, but they can not give this problem solving. In this paper, we propose these to the algorithm-around view of the driver's operation of the vehicle after the car sideways, left and right of the room with integrated video Black Box is designed to provide.

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Simplified projective transform for reconstruction of cylindrical panorama (실린더 파노라마 영상의 재구성을 위한 단순화된 사영 변환)

  • Lee Kang-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.2 s.40
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    • pp.169-175
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    • 2006
  • In this paper we propose a method of reconstruction of cylindrical panorama using simplified projective transform from the panning image on the fixed camera. For the practical construction of cylindrical panorama we consider the rotation of the camera on the Y-axis only, even though considering the rotation components on all of the X,Y,Z axis on three-dimensional space for projective transform between general panoramas. The restriction mentioned above simplifies projective transform with existing 8 degrees of freedom into the one with 4 degrees of freedom. In the results, overall computation for projective transform can be decreased to the great extents in quantify, because the number of corresponding points required for inducing the transforming formula is gone down by half. Proposed algorithm from the simulation carried out in this paper shows similar performance and decreased computational quantity compared with existing algorithm. Also, it shows the construction of cylindrical panorama using simplified projective transform.

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