• 제목/요약/키워드: Auto Focus Camera

검색결과 52건 처리시간 0.036초

A Design of Piezo Driver IC for Auto Focus Camera System (디지털카메라의 자동초점제어를 위한 피에조 구동회로의 설계)

  • Lee, Jun-Sung
    • Journal of IKEEE
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    • 제14권3호
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    • pp.190-198
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    • 2010
  • This paper describes a auto focus piezo actuator driver IC for portable digital camera. The 80[V] DC voltage is generated by a DC-DC converter and supplied to power of piezo moving control circuit. The voltage of piezo actuator needs range -20[V] to 80[V] proportional to 1[Vp-p] input control voltages. The dimensions and number of external parts are minimized in order to get a smaller hardware size. IIC(Inter-IC) interface logic is designed for data interface and it makes debugging easy, test for mass productions. The power consumption is around 40[mW] with supply voltage of 3.6[V]. This device has been fabricated in a 0.6[um] double poly, triple metal 100[V] BCD MOS process and whole chip size is 1600*1500 [$um^2$].

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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    • 제8권4호
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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.

Lens Position Error Compensated Fast Auto-focus Algorithm in Mobile Phone Camera Using VCM (VCM을 이용한 휴대폰 카메라에서의 렌즈 위치 오차 보상 고속 자동 초점 알고리즘)

  • Han Chan-Ho;Kim Tae-Kyu;Kwon Seong-Geun
    • Journal of Korea Multimedia Society
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    • 제9권5호
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    • pp.585-594
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    • 2006
  • Due to the size limit, the voice coil motor (VCM) is adopted in most of the mobile phone camera to control auto-focus instead of step motor. The optical system using the VCM has the property that the focus values are varying even though the same current is induced. It means that an error of the lens position was taken placed due to the characteristics of the VCM. In this paper, a algorithm was proposed to compensate the lens position error using the step size and the search count of each stage. In the proposed algorithm -7 step middle searching stage is inserted the conventional searching algorithm for the fast auto-focus searching and the final searing step size was set to +1 for the precise focus control, respectively. In the experimental results, the focus values was found more fast in the proposed algorithm than the conventional. And more the image quality by the proposed algorithm was superior to that of the conventional.

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A Study on Iris Image Restoration Based on Focus Value of Iris Image (홍채 영상 초점 값에 기반한 홍채 영상 복원 연구)

  • Kang Byung-Jun;Park Kang-Ryoung
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • 제43권2호
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    • pp.30-39
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    • 2006
  • Iris recognition is that identifies a user based on the unique iris texture patterns which has the functionalities of dilating or contracting pupil region. Iris recognition systems extract the iris pattern in iris image captured by iris recognition camera. Therefore performance of iris recognition is affected by the quality of iris image which includes iris pattern. If iris image is blurred, iris pattern is transformed. It causes FRR(False Rejection Error) to be increased. Optical defocusing is the main factor to make blurred iris images. In conventional iris recognition camera, they use two kinds of focusing methods such as lilted and auto-focusing method. In case of fixed focusing method, the users should repeatedly align their eyes in DOF(Depth of Field), while the iris recognition system acquires good focused is image. Therefore it can give much inconvenience to the users. In case of auto-focusing method, the iris recognition camera moves focus lens with auto-focusing algorithm for capturing the best focused image. However, that needs additional H/W equipment such as distance measuring sensor between users and camera lens, and motor to move focus lens. Therefore the size and cost of iris recognition camera are increased and this kind of camera cannot be used for small sized mobile device. To overcome those problems, we propose method to increase DOF by iris image restoration algorithm based on focus value of iris image. When we tested our proposed algorithm with BM-ET100 made by Panasonic, we could increase operation range from 48-53cm to 46-56cm.

A Fuzzy Search Method for Auto Focusing of CCM Test Handlers (CCM 테스트 핸들러의 자동초점조절을 위한 퍼지탐색 방법)

  • Kwon, Hyuk-Joong;Yoon, Hee-Sang;Park, Tae-Hyoung
    • Journal of Institute of Control, Robotics and Systems
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    • 제13권11호
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    • pp.1112-1118
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    • 2007
  • We propose a new-focusing method for test handlers of compact camera module (CCM), The MMD (max-min difference) method is applied to calculate the focus value quickly considering the noisy output of CCM. Also, the fuzzy search method is applied to find the maximum focus value effectively. We design a fuzzy processor to control the lens position by focus values and brightness values, which improves the focusing performance in the sense of speed and processor memory. The proposed method is implemented by computer program and installed at the CCM test handler machines. The simulation results are presented to verify the usefulness of the proposed method.

A NEW AUTO-GUIDING SYSTEM FOR CQUEAN

  • CHOI, NAHYUN;PARK, WON-KEE;LEE, HYE-IN;JI, TAE-GEUN;JEON, YISEUL;IM, MYUNGSHI;PAK, SOOJONG
    • Journal of The Korean Astronomical Society
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    • 제48권3호
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    • pp.177-185
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    • 2015
  • We develop a new auto-guiding system for the Camera for QUasars in the EArly uNiverse (CQUEAN). CQUEAN is an optical CCD camera system attached to the 2.1-m Otto-Struve Telescope (OST) at McDonald Observatory, USA. The new auto-guiding system differs from the original one in the following: instead of the cassegrain focus of the OST, it is attached to the finder scope; it has its own filter system for observation of bright targets; and it is controlled with the CQUEAN Auto-guiding Package, a newly developed auto-guiding program. Finder scope commands a very wide field of view at the expense of poorer light gathering power than that of the OST. Based on the star count data and the limiting magnitude of the system, we estimate there are more than 5.9 observable stars with a single FOV using the new auto-guiding CCD camera. An adapter is made to attach the system to the finder scope. The new auto-guiding system successfully guided the OST to obtain science data with CQUEAN during the test run in 2014 February. The FWHM and ellipticity distributions of stellar profiles on CQUEAN, images guided with the new auto-guiding system, indicate similar guiding capabilities with the original auto-guiding system but with slightly poorer guiding performance at longer exposures, as indicated by the position angle distribution. We conclude that the new auto-guiding system has overall similar guiding performance to the original system. The new auto-guiding system will be used for the second generation CQUEAN, but it can be used for other cassegrain instruments of the OST.

A Study of AF Focusing algorithm for camera module (소형 카메라 모듈의 오토 포커싱 알고리즘에 관한 연구)

  • An, Jong-Su;Kim, Young-Gil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 한국해양정보통신학회 2011년도 춘계학술대회
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    • pp.320-323
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    • 2011
  • The compact camera assembled into Smart phone is required to have higher resolution level in non AF state than existing handsets, and it is also requested to have higher degree of accuracy, more consistent repetitiveness, and faster auto focusing speed. Algorithm based on a mechanical position of the existing actuator has been discussed. Therefore, in this thesis I suggest an improved algorithm concerning the problem of unstable resolution level in non AF state and auto focusing speed.

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Electroactive Polymer Actuator for Lens-Drive Unit in Auto-Focus Compact Camera Module

  • Lee, Hyung-Kun;Choi, Nak-Jin;Jung, Sun-Kyung;Park, Kang-Ho;Jung, He-Won;Shim, Jae-Kyu;Ryu, Jae-Wook;Kim, Jong-Dae
    • ETRI Journal
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    • 제31권6호
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    • pp.695-702
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    • 2009
  • We propose a lens-drive unit composed of an ionic polymer-metal composite (IPMC) for an auto-focus compact camera module in cellular phones to solve the power consumption problem of voice coil motors which are widely used in commercial products. In this research, an IPMC incorporated into a lens-drive unit is designed to implement a large displacement in low-power consumption by using an anisotropic plasma treatment. Experimental results show that a camera module containing IPMCs can control and maintain the position of the lens by using proportional integral derivative control with a photo-reflective position sensor despite the non-linear actuation behavior of IPMCs. We demonstrate that the fabrication and commercialization of a lens actuator that has a large displacement and low power consumption using IPMCs is possible in the near future.

An Efficient Auto-focusing Algorithm for Video Measuring System (비디오 측정 시스템을 위한 효율적인 자동 초점 조절 알고리즘)

  • Hahn Kwang-Soo
    • Journal of KIISE:Software and Applications
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    • 제32권9호
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    • pp.878-887
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    • 2005
  • The passive focusing method finds the in-focus position by analyzing images captured by a camera. In this paper, we propose an efficient passive auto-focusing algorithm for video measuring systems. The sum of modified Laplacian of Gaussian is used to calculate focus values from images and Gaussian curve fitting is applied to estimate the optimal in-focus position. The Proposed method is tested for various objects and illuminations. The test result is compared with other methods to verify accuracy and efficiency of the proposed algorithm.

Electromagnetic Analysis on the VCM for Auto-focus Lens (자동초점 조절용 VCM의 전자기 해석 연구)

  • Kwon, Soon Ki
    • Journal of Digital Convergence
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    • 제10권11호
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    • pp.331-335
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    • 2012
  • Many researches have been performed the analysis and experiments on auto-focus lens due to the development of camera module which is used in mobile-phone recently. Various types of voice coil motor are used mostly in the view point of actuators. Various type of magnetic flux flow is made by the combination of magnet, coil and yoke, etc. And the function of auto-focus is made by the proper combination of the lens components. In this research, some of the simple and economic structure is chosen to investigate the characteristics analytically among various types of lens which are used in industries. Desired level of lens module design was achieved by electromagnetic analysis using ANSYS$^{TM}$ finite element analysis program.