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A Camera-Based Position Correction System for Autonomous Production Line Inspection.

Amit Kumar Bedaka1, Shao-Chun Lee1, Alaa M Mahmoud1

  • 1Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.

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|July 2, 2021
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Summary
This summary is machine-generated.

This study introduces an automated position correction module for robot-guided visual inspection systems. It corrects object displacement and rotation errors, enhancing automated optical inspection (AOI) on production lines.

Keywords:
automatic optical inspection (AOI)camera-based systemimage processingmanipulatoroffline programmingposition correctionproduction line

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Area of Science:

  • Robotics
  • Computer Vision
  • Manufacturing Automation

Background:

  • Visual inspection is crucial for manufacturing quality control.
  • Existing robot-guided systems using offline programming (OLP) and RGB-D models simplify inspection but fail with object positioning errors.
  • Production line automation requires robust solutions for variations in object placement.

Purpose of the Study:

  • To develop an automated position correction module for robot-guided inspection systems.
  • To address limitations of current systems regarding object displacement and rotation errors.
  • To enhance the reliability and applicability of automated optical inspection (AOI) on dynamic production lines.

Main Methods:

  • Developed an automated position correction module integrating automatic hand-eye calibration and the PnP algorithm.
  • Utilized a calibration board for precise, reduced-error hand-eye calibration.
  • Employed artificial marker images with the PnP algorithm to detect and calculate object position errors.

Main Results:

  • The position correction module successfully located object positions and corrected robot pose and position errors.
  • Automatic mapping of AOI target positions to new objects was achieved, adapting to detected errors.
  • Experimental results confirmed the effectiveness of the robot-guided inspection system with the integrated position correction module.

Conclusions:

  • The developed module significantly improves the accuracy and reliability of robot-guided visual inspection systems.
  • Automated position correction enables seamless integration of AOI into dynamic production lines, increasing productivity.
  • This innovation advances automated optical inspection by providing a robust solution for real-world manufacturing challenges.