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Storing data for re-measurement of objects using a recording machine vision system

  • US 10,012,500 B2
  • Filed: 09/03/2008
  • Issued: 07/03/2018
  • Est. Priority Date: 09/03/2007
  • Status: Active Grant
First Claim
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1. A method for measuring an object produced in a large lot by an industrial production process, the method comprising:

  • employing a set of cameras to calibrate the system to a measurement space, wherein the measurement space is a three-dimensional space;

    recording calibration data and associating the calibration data with a measurement event at a first time;

    recording calibration data and associating the calibration data with the measurement event at a second time, the second time different from the first time;

    capturing images of an object in the measurement space with the set of cameras in the calibrated system, the object including an automobile part and having a unique identifier;

    recording data from the captured image in the measurement event in a data system;

    storing the recorded calibration data from the first time within first recorded object image data; and

    storing the recorded calibration data from the second time within second recorded object image data,measuring the object at the first time based on the captured image and the calibration data and re-measuring the object at a second time after the measurement event based on the same captured image and calibration data, wherein re-measuring the object is triggered by a defective object that is produced by the same large lot,wherein said calibration data comprises at least one of (a) position of the camera in the three-dimensional space, (b) rotations of the camera relative to spatial axes, (c) internal parameters of the camera for capturing the images and, (d) position and image aberration data for optics used, andwherein the method measures all points visible in the images captured by the cameras, such that features which were ignored in earlier measurements are available to be measured at a later time from existing images.

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