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A distortion corrected single camera-based weight estimation technique for industrial objects.

Subhasis Chaudhuri1, Anirban Mukherjee, Pranab K Dutta

  • 1R & D Centre for Iron and Steel, Steel Authority of India Limited, Ranchi, India.

ISA Transactions
|July 16, 2003
PubMed
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A novel single camera system offers self-calibrating dimensional measurement for steel ingot cross-sectional areas. This automated method ensures accurate measurements regardless of ingot distance, improving industrial processes.

Area of Science:

  • Industrial Automation
  • Computer Vision
  • Metrology

Background:

  • Accurate dimensional measurement is critical in steel manufacturing.
  • Existing methods may be complex or require fixed distances.
  • Image-based measurement offers potential for non-contact assessment.

Purpose of the Study:

  • To develop a unique single camera-based dimensional measurement system.
  • To implement a self-calibration method for image-based measurements.
  • To determine the frontal cross-sectional area of steel ingots irrespective of camera distance.

Main Methods:

  • A single camera system was designed and implemented in an Indian steel plant.
  • Automatic calibration was achieved using a magnetic template of known area.

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  • Lens distortion correction was incorporated for enhanced accuracy.

    • Main Results:

    • The system successfully obtained frontal cross-sectional areas of ingots.
    • Measurements were independent of the ingot's distance from the camera.
    • Field trials yielded encouraging and accurate results.

    Conclusions:

    • The developed self-calibrating system provides a robust solution for ingot dimensional measurement.
    • This technology can enhance quality control and process efficiency in steel plants.
    • The system's adaptability to varying distances and lens distortions is a key advantage.