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Product Assembly Assistance System Based on Pick-To-Light and Computer Vision Technology.

Darko Hercog1, Primož Bencak2, Uroš Vincetič3

  • 1Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 46, SI-2000 Maribor, Slovenia.

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Summary
This summary is machine-generated.

This study introduces a guided assembly system using pick-to-light (PTL) modules and computer vision to reduce training time for complex product assembly. The innovative technology streamlines the process, making assembly faster and more efficient for workers.

Keywords:
LabVIEWcomputer visionperformance analysispick-to-light (PTL)product assembly

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Area of Science:

  • Industrial Engineering
  • Manufacturing Technology
  • Human-Computer Interaction

Background:

  • Product assembly, particularly for complex items, requires significant worker training time.
  • Current automation solutions are often inflexible for diverse product assembly needs.
  • Reducing assembly training time is crucial for improving production efficiency.

Purpose of the Study:

  • To develop and evaluate a novel guided assembly system to decrease training time and enhance assembly efficiency.
  • To integrate pick-to-light (PTL) modules and computer vision technology for real-time assembly guidance.
  • To create a flexible and scalable system adaptable to various complex products.

Main Methods:

  • Development of a custom system integrating a personal computer (PC), pick-to-light (PTL) modules, and a USB camera.
  • Implementation of a PC application for visualizing assembly steps and guiding operators.
  • Utilizing a two-step verification process: PTL pushbutton confirmation and computer vision-based part identification.

Main Results:

  • The developed system successfully guides assemblers through complex product assembly processes.
  • A use case demonstrated a significant reduction in product assembly time using the proposed system.
  • The system's design allows for scalability and adaptability to different products.

Conclusions:

  • The guided assembly system effectively reduces assembly time and training requirements.
  • The integration of PTL and computer vision offers a viable solution for complex assembly tasks.
  • The proposed technology is flexible, scalable, and can be readily applied to diverse manufacturing environments.