Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Ball stud inspection system using machine vision.

Dongik Shin1, Changsoo Han, Young Shik Moon

  • 1Department of Mechanical Engineering, Hanyang University, Ansan-si, Kyonggi-do, South Korea. blacksheep@ihanyang.ac.kr

ISA Transactions
|May 17, 2002
PubMed
Summary

A novel vision-based system precisely measures ball stud dimensions using subpixel accuracy image analysis and object rotation. This automated inspection system enhances dimensional measurement resolution for quality control.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Clinical trials of GPE-based muscle support algorithm for robotic hip exoskeleton: a pilot study.

Scientific reports·2025
Same author

<i>Luffa cylindrica</i>-inspired powerless micropump: long-term, high-flow operation and energy-generation application.

Lab on a chip·2025
Same author

pH and Redox Dual-Responsive Nanoparticle with Enhanced Dendritic Cell Maturation for Cancer Therapy.

ACS applied materials & interfaces·2024
Same author

A Planar Multi-Inertial Navigation Strategy for Autonomous Systems for Signal-Variable Environments.

Sensors (Basel, Switzerland)·2024
Same author

Feasibility of artificial intelligence assisted quantitative muscle ultrasound in carpal tunnel syndrome.

BMC musculoskeletal disorders·2023
Same author

The effect of training using an upper limb rehabilitation robot (HEXO-UR30A) in chronic stroke patients: A randomized controlled trial.

Medicine·2023

Area of Science:

  • * Mechanical Engineering
  • * Computer Vision
  • * Metrology

Background:

  • * Traditional dimensional measurement methods can be time-consuming and prone to error.
  • * Automated optical inspection systems are crucial for modern manufacturing quality control.
  • * Precise measurement of components like ball studs is essential for automotive and mechanical applications.

Purpose of the Study:

  • * To design and implement an automated vision-based inspection system for accurate ball stud dimension measurement.
  • * To develop a method for extracting object outlines with subpixel accuracy.
  • * To improve measurement resolution by rotating and vertically positioning the inspected object.

Main Methods:

  • * Utilized backlighting to acquire silhouetted images of the object.

Related Experiment Videos

  • * Employed subpixel image processing to extract precise object outlines.
  • * Modeled boundary data using geometric primitives and minimized estimation error.
  • * Integrated jig-fixtures and servo systems for object manipulation (rotation and vertical movement).

    • Main Results:

    • * Successfully designed and implemented a functional vision-based inspection system.
    • * Achieved subpixel accuracy in outline extraction for precise dimensional measurement.
    • * Demonstrated improved measurement resolution through object rotation and vertical scanning.
    • * Validated system performance using standard ball, standard cylinder, and ball stud measurements.

    Conclusions:

    • * The developed vision-based system offers a precise and efficient method for measuring ball stud dimensions.
    • * The system's ability to recognize objects in 3D space and enhance resolution makes it suitable for complex metrology tasks.
    • * This automated approach contributes to improved quality control in manufacturing processes.