Student Work

Detecting and Correcting Bends in Medical-Grade Endoscopes using Computer Vision and Cold-Rolling Processes

Público Deposited

This project developed a semi-automated machine for precisely measuring and straightening medical-grade endoscopes of various diameters. The current method involves manual straightening, resulting in low accuracy. The project required identifying the location and measurement of bends, straightening of bent endoscopes, and verification and validation of the integrated system. Endoscope contours are captured using computer vision, and endoscope parameters such as diameter and length are determined to calculate maximum runout. This information is used by the straightening subsystem, which involves a cold rolling process to remove these bends. Two systems were integrated into a single machine, and various tests were conducted to verify the performance. The tested prototype, set to incorporate into Henke Sass Wolf of America (HSWoA) operations, aims to ensure endoscopes are within swift and reliable specifications.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
Creator
Publisher
Identifier
  • E-project-050124-140007
  • 122308
Palavra-chave
Advisor
Year
  • 2024
Sponsor
Date created
  • 2024-05-01
Resource type
Major
Source
  • E-project-050124-140007
Rights statement
Última modificação
  • 2024-05-08

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Permanent link to this page: https://digital.wpi.edu/show/kk91fq771