• Title/Summary/Keyword: System Calibration

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Calibration off multiple-sensor measuring system for efficient visual inspection (형상 검사를 위한 multiple-sensor 측정 시스템의 캘리브레이션 연구)

  • 김승만;손석배;이관행
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.579-582
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    • 2002
  • In acquiring the surface information of a part, two types of measuring machines have been used: contact type and non-contact type. Since each measuring device has the pres and cons, an integrated measuring system is proposed to acquire the optimal point data. In order to implement the integrated measuring system, the relationship of coordinate systems between each measuring device should be established. In this paper, a new datum fixture and a calibration method for the multiple-sensor measuring system are proposed. The datum fixture is designed to interface two machines, a CMM and a laser scanner. The position of the datum fixture is calibrated by the axis information off motorized rotation stage which is used for a part setup.

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On-line Camera Calbration Using the Time-Varying Image Sequence (시변 순차영상을 이용한 On-line 카메라 교정)

  • 김범진;이호순;최성구;노도환
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.440-440
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    • 2000
  • In general, camera calibration is consisted of Indoor and Outdoor system. In case of Indoor system, it was optimized experimental condition. However, Outdoor system is different camera parameters for each image that is compared to equaled position. That is, it imply that camera parameters are varied by an environment with light or impulse noise, etc. So we make use of Image sequence because that they provide the more information for each image. In addition to, we use Corresponding line because it has less error than Corresponding point. Corresponding line has also the more information. In this paper, we suggest on-line camera calibration method using the time-varying Image sequence and Corresponding line. So we calculate camera parameters with intrinsic and extrinsic parameters in On-line system.

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Remote Calibration Control and Monitoring System for Conveyor Scale using LabVIEW (LabVIEW를 이용한 Conveyor Scale의 원격 교정제어 및 모니터링 시스템)

  • Bang, Nam-Soo;Jang, Woo-Jin;Song, Joong-Ho
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.26 no.10
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    • pp.72-80
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    • 2012
  • In general, electronic conveyor scales are installed in a relatively distributed manner on the crushed rock and sand production site. It is one of the time-consuming and difficult engineering works to monitor and control the plant operation status such as the management of measuring data, malfunction of belt conveyor, and fault of electronic conveyor scale. Therefore, to alleviate the inefficient problems and to monitor the operating plant in the online and remote control room, a remote calibration and real-time monitoring system, which is practically applied to the electronic conveyor scale system and verified by onsite experiment, is developed based on the LabVIEW.

The Evaluation of Accuracy for Airborne Laser Surveying via LiDAR System Calibration (시스템 초기화(Calibration)에 따른 항공레이저측량의 정확도 평가)

  • 이대희;위광재;김승용;김갑진;이재원
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.04a
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    • pp.15-26
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    • 2004
  • The calibration for systematic error in LiDAR is crucial for the accuracy of airborne laser scanning. The main error is the misalignment of platforms between INS(Inertial Navigation System) and Laser scanner For planimetrical calibration of LiDAR, the building is good feature which has great changes in height and continuous flat area in the top. The planimetry error(pitch, roll) is corrected by adjustment of height which is calculated from comparing ground control points(GCP) of building to laser scanning data. We can know scale correction of laser range by the comparison of LiDAR data and GCP is arranged at the end of scan angle where maximize the height error. The area for scale calibration have to be large flat and have almost same elevation. At 1000m for average flying height, The Accuracy of laser scanning data using LiDAR is within 110cm in height and ${\pm}$50cm in planmetry so we can use laser scanning data for generating 3D terrain surface, expecically digital surface model(DSM) which is difficult to measure by aerial photogrammetry in forest, coast, urban area of high buildings

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User-Calibration Free Gaze Tracking System Model (사용자 캘리브레이션이 필요 없는 시선 추적 모델 연구)

  • Ko, Eun-Ji;Kim, Myoung-Jun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.5
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    • pp.1096-1102
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    • 2014
  • In remote gaze tracking system using infra-red LEDs, calibrating the position of reflected light is essential for computing pupil position in captured images. However, there are limitations in reducing errors because variable locations of head and unknown radius of cornea are involved in the calibration process as constants. This study purposes a gaze tracking method based on pupil-corneal reflection that does not require user-calibration. Our goal is to eliminate the correction process of glint positions, which require a prior calibration, so that the gaze calculation is simplified.

Study on the Error Compensation in Strain Measurement of Sheet Metal Forming (박판성형 변형률 측정 오차보정에 관한 연구)

  • 한병엽;차지혜;금영탁
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2003.05a
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    • pp.270-273
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    • 2003
  • The strain measurement of the panel in the sheet metal forming is essential work which provides experimental data needed to die design, process design, and product inspection. To measure efficiently the complex geometry strain, the 3-dimensional automative strain measurement system, which has high accuracy in theory, but has some 3∼5% errors in practice, is often used. The object of this study is to develop the error compensation technology to eliminate the strain, errors resulted when formed panels are measured using an automated strain measurement system. To achieve the study object, the position error calibration method correcting coordinates of the grid node recognized by a camera using error functions is suggested. Then the position errors were found by calculating the difference in the position of the cube node between real coordinates and measured coordinates in toms of node coordinates and the error calibration equations were derived by regressing the position errors. In order to show the validation of the suggested position error calibration method, finite element analysis and current calibration method was performed for the initial-blankformed.

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Measurement of 3D Shape of Fastener using Camera and Slit Laser (카메라와 슬릿 레이저를 이용한 나사 3D 형상 측정)

  • Kim, Jin Woo;Song, Tae Hun;Ha, Jong Eun
    • Journal of the Korean Society for Precision Engineering
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    • v.32 no.6
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    • pp.537-542
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    • 2015
  • The measurement of 3D shape is important in inspecting the quality of product. In this paper, we present a 3D shape measurement system of fastener using a camera and a slit laser. Calibration structure with slits is used in the extrinsic calibration of the camera and laser. The pose of the camera and laser is computed under the same world coordinate system in the calibration structure. Reflection of laser light on the metal surface causes many difficulties in the robust detection of them on image. We overcome this difficulty by using color and dynamic programming. Motor stage is used to rotate the fastener to recover the whole 3D shape of the surface of it.

Calibration Techniques for Low-Level Current Measurement in the Characteristic Analysis System for Semiconductor Devices (저전류 측정을 위한 반도체 소자 특성 분석 시스템에서의 보상 기법)

  • Choi, In-Kyu;Park, Jong-Sik
    • Journal of Sensor Science and Technology
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    • v.11 no.2
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    • pp.111-117
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    • 2002
  • In this paper, we proposed calibration techniques to improve measurement accuracy in the characteristic analysis system for semiconductor devices. Systematic errors can be reduced using proposed calibration techniques. Also, error current reduction procedures including leakage current and offset current are proposed to measure low-level current in pA level. Calibration parameters are calculated and stored by microprocessor using least-square fitting with measured sample data. During measurement time microprocessor corrects measured data using stored calibration parameters. Experimental results show that current measurement error above nA level is less than 0.02%. And they also show that current measurement in pA level can be performed with about 0.2% accuracy.