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Registration fiducials for automated alignment with optical processing.

I Glaser1, Y Katzir

  • 1Weizmann Institute of Science, Electronics Department, Rehovot IL-76100, Israel.

Applied Optics
|April 17, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a simpler method for automatic object alignment using incoherent optical correlators and rotation-insensitive fiducials. This approach enhances automated assembly and inspection systems by eliminating complex components.

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Area of Science:

  • Optics and Photonics
  • Robotics and Automation
  • Computer Vision

Background:

  • Automated assembly, inspection, and sorting systems require prealigned work-pieces for efficient operation.
  • Existing coherent optical correlators offer speed but are complex due to mechanical components and spatial light modulators.
  • A need exists for rapid, simple, and robust automatic alignment solutions.

Purpose of the Study:

  • To present an alternative automatic alignment method using incoherent optical correlators.
  • To demonstrate a rotation-insensitive alignment technique for industrial applications.
  • To reduce the complexity and cost of automated alignment systems.

Main Methods:

  • Incorporating circularly symmetric fiducials directly into the objects to be aligned.
  • Utilizing incoherent optical correlators for fiducial detection, avoiding spatial light modulators.
  • Employing multiple identical fiducials to determine object orientation.

Main Results:

  • The developed method eliminates the need for complex mechanical components like image rotation prisms.
  • The use of specially chosen fiducials ensures rotation-insensitive correlation.
  • The location of multiple fiducials provides sufficient data for object orientation determination.
  • Laboratory tests confirmed the feasibility and effectiveness of the proposed alignment approach.

Conclusions:

  • The described incoherent optical correlator approach offers a simpler and more robust solution for automatic object alignment.
  • This method facilitates the widespread adoption of automated systems in manufacturing and inspection.
  • The rotation-insensitive fiducial detection significantly improves alignment efficiency and reliability.