• Title/Summary/Keyword: automatic focusing

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An Automatic Focusing Method Using Establishment of Step Size from Optical Axis Interval (광학축 간격의 스텝크기 설정을 통한 오토포커싱 방법)

  • Kim, Gyung Bum;Moon, Soon Hwan
    • Journal of the Semiconductor & Display Technology
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    • v.14 no.1
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    • pp.7-11
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    • 2015
  • In this paper, an automatic focusing method has been proposed for speedy and reliable measurement and inspection in industry. It is very difficult to determine focusing step size and moving direction in one camera autofocusing. The proposed method can improve speed and accuracy of focusing by using the optical axis interval of two cameras, which is automatically set up as focusing step size. Also, it can determine moving direction from focus value comparisons of two cameras, and then solve ambiguity of one camera focusing. Its performance is verified by experiments. It is expected that it can apply to optical system for measurement and inspection in industry fields.

A Hybrid Automatic Focusing Method with Gaussian Interpolation and Adaptive Step Size (가우시안보간과 적응스텝크기를 적용한 하이브리드 오토포커싱)

  • Moon, Soon Hwan;Kim, Gyung Bum
    • Journal of the Semiconductor & Display Technology
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    • v.13 no.1
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    • pp.51-55
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    • 2014
  • In this paper, an hybrid automatic focusing method has been proposed for speedy and reliable measurement and inspection in industry. It can improve reliability of focusing position by using not a focusing measure but the hybrid one that is incorporated with sobel operator and auto-correlation. Also, it can not only reduce control time of focusing position using adaptive step size, but also improve accuracy of focusing position by gaussian interpolation. Its performance is verified by experiments. It is expected that it can apply to optical system for measurement and inspection in industry fields.

A Design of Real-time Automatic Focusing System for Digital Still Camera Using the Passive Sensor Error Minimization (수동 센서의 오차 최소화를 이용한 실시간 DSC 자동초점 시스템 설계)

  • Kim, Geun-Seop;Kim, Deok-Yeong;Kim, Seong-Hwan
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.51 no.5
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    • pp.203-211
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    • 2002
  • In this paper, the implementation of a new AF(Automatic Focusing) system for a digital still camera is introduced. The proposed system operates in real-time while adjusting focus after the measurement of distance to an object using a passive sensor, which is different from a typical method. In audition, measurement errors were minimized by using the data acquired empirically, and the optimal measuring time was obtained using EV(Exposure Value) which is calculated from CCD luminance signal. Moreover, this system adopted an auxiliary light source for focusing in absolute dark conditions, which is very hard for CCD image Processing. Since this is an open-loop system adjusting focus immediately after the distance measurement, it guarantees real-time operation. The performance of this new AF system was verified by comparing the focusing value curve obtained from AF experiment with the one from the measurement by MF(Manual-Focusing). In both case, edge detector was used for various objects and backgrounds.

Development of automatic assembly module for yoke parts in auto-focusing actuator (Auto-Focusing 미세부품 Yoke 조립 자동화 모듈 개발)

  • Ha, Seok-Jae;Park, Jeong-Yeon;Park, Kyu-Sub;Yoon, Gil-Sang
    • Design & Manufacturing
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    • v.13 no.1
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    • pp.55-60
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    • 2019
  • Smart-phone in the recently released high-end applied to the camera module is equipped with the most features auto focusing camera module. Also, auto focusing camera module is divided into voice coil motor, encoder, and piezo according to type of motion mechanism. Auto focusing camera module is composed of voice coil motor (VCM) as an actuator and leaf spring as a guide and suspension. VCM actuator is made of magnet, yoke as a metal, and coil as a copper wire. Recently, the assembly as yoke and magnet is made by human resources. These process has a long process time and it is difficult to secure quality. Also, These process is not economical in cost, and productivity is reduced. Therefore, an automatic assembly as yoke and magnet is needed in the present process. In this paper, we have developed an automatic assembly device that can automatically assemble yoke and magnet, and performed verifying performance. Therefore, by using the developed automatic assembly device, it is possible to increase the productivity and reduce the production cost.

Crater Wear Measurement Using Computer Vision and Automatic Focusing (컴퓨터 비젼 및 자동초점장치를 이용한 크레이타 마멸측정)

  • Yang, Min-Yang;Gwon, O-Dal
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.20 no.12
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    • pp.3759-3766
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    • 1996
  • In this paper a new gefchmique to measaure the creater wear using image processing and automatic focusing is presented. The contour detection algorithm, which can adopt ina noisy image, is suggested. It is suitable for eliminating high frequency noses with lower processing time and without blurring. An automatic focusing technique is applied to measure a createrwear depth with a one-dimensional search algorithm for finding the bestfocus. This method is implemented in the tool microscope driven by a servo motor. The results show that the countour and depth of crater wear can be measured reliably.

Implementation of Measuring System for the Auto Focusing (자동 초점 조절 검사 시스템 설계 및 구현)

  • Lee, Young Kyo;Kim, Young Po
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.4
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    • pp.159-165
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    • 2012
  • The accurate focusing position should be determined for accurate measurements In VMS. Camera lens focusing is an important problem in computer vision and video measuring systems (VMS) that use CCD cameras and high precision XYZ stages. Camera focusing is a very important step in high precision measurement systems that use computer vision technique. The auto focusing process consists of two steps, the focus value measurement step and the exact focusing position determination step. It is suitable for eliminating high frequency noises with lower processing time and without blurring. An automatic focusing technique is applied to measure a crater with a one-dimensional search algorithm for finding the best focus. Throughout this paper, the suggested algorithm for the Auto focusing was combined with the learning. As a result, it is expected that such a combination would be expanded into the system of recognizing voices in a noisy environment.

Effects of Peer Supports on Conduct Behavior and Withdrawal of Adolescence : Focusing on Mediating Effect of Negative Automatic Thoughts (또래지지가 청소년의 품행행동과 위축에 미치는 영향력 : 부정적 자동적 사고의 매개효과를 중심으로)

  • Lee, Jung Sook;Song, Hwa Jin
    • Journal of Families and Better Life
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    • v.32 no.6
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    • pp.59-72
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    • 2014
  • The purpose of this study was to examine the impact of peer support on conduct behavior and withdrawal and to investigate the mediating effect of negative automatic thought. The subjects included 461 students(boys 51%, girls 49%) from the 1st to 3rd grades of middle school in Seoul. Conduct behavior and withdrawal was measured by the Korean Youth Self Report and the Conners-Wells'-Adolescent Self Report Scales. Negative automatic thoughts were measured by the Korean Children Youth Automatic Thoughts Scale. Using Amos 20, structural equation modeling was conducted. The findings of the structural equation modeling was that peer support had an impact on conduct behavior and withdrawal. Peer support contributed to a reduction of negative automatic thoughts. Negative automatic thoughts had a mediating effect between peer support and withdrawal or conduct. We suggest that peer support affects conduct behavior and withdrawal through negative automatic thought. We also found gender differences; compared with girls, boys received less support from peers. They also had lower levels of negative automatic thoughts and withdrawal than girls. The further study should be considered to provide more correlation factors of peer support.

Automatic Interpretation of the Borehole Normal Resistivity Data by Using a Personal Computer (퍼스널 컴퓨터를 이용한 비저항 물리검층자료의 자동해석)

  • Kim, Jin-Hu
    • Journal of Ocean Engineering and Technology
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    • v.2 no.2
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    • pp.51-60
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    • 1988
  • A data transform is performed by using a point-electrode focusing method in order to obtain accurate and objective interpretation of the borehole normal resistivity data. Two new synthetic curves can be generated through the data transform. The one is an approximate apparent resistivity curve, which would be used to predict the true resistivity of the formation. The other one is a bed boundary coefficient curve, which would be used to distinguish bed boundaries. The accuracy of the normal data interpretation can be improved and this method takes much less computational time than a linear inversion technique. Moreover, this method does not require an initial guess model and limitation of number of unknown parameters. Since this algorithm can be run on a personal computer, an immediate interpretation would be possible at the field work site. If an additional set of electrodes(a=125cm)is attached to a normal resistivity tool which is being used (a=25cm, 50cm, 100cm), the apparent resistivity for the point-electrode focusing device can be calculated, and it would maximize the use of short and long normal resistivity data and promote the accuracy of the interpretation.

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Development of Adaptive Eye Tracking System Using Auto-Focusing Technology of Camera (눈동자 자동 추적 카메라 시스템 설계와 구현)

  • Wei, Zukuan;Liu, Xiaolong;Oh, Young-Hwan;Yook, Ju-Hye
    • Journal of Digital Contents Society
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    • v.13 no.2
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    • pp.159-167
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    • 2012
  • Eye tracking technology tracks human eyes movements to understand user's intention. This technology has been improving slowly and should be used for a variety of occasions now. For example, it enables persons with disabilities to operate a computer with their eyes. This article will show a typical implementation of an eye tracking system for persons with disabilities, after introducing the design principles and specific implementation details of an eye tracking system. The article discussed the realization of self-adapting regulation algorithm in detail. The self-adapting algorithm is based on feedback signal controlling the lens movements to realize automatic focus, and to get a clear eyes image. This CCD camera automatic focusing method has self-adapting capacity for changes of light intensity on the external environment. It also avoids the trouble of manual adjustment and improves the accuracy of the adjustment.

A Study on the Automatic Parallelization Method and Tool Development

  • Shin, Woochang
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.87-94
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    • 2020
  • Recently, computer hardware is evolving toward increasing the number of computing cores, not increasing the clock speed. In order to use the performance of parallelized hardware to the maximum, the running program must also be parallelized. However, software developers are accustomed to sequential programs, and in most cases, write programs that operate sequentially. They also have a lot of difficulty designing and developing software in parallel. We propose a method to automatically convert a sequential C/C++ program into a parallelized program, and develop a parallelization tool that supports it. It supports open multiprocessing (OpenMP) and parallel patterns library (PPL) as a parallel framework. Perfect automatic parallelization is difficult due to dynamic features such as pointer operation and polymorphism in C/C++ language. This study focuses on verifying the conditions of parallelization rather than focusing on fully automatic parallelization, and providing advice to developers in detail if parallelization is not possible.