Evaluating the Reliability of a Machine Vision System for Collaborative Robots: An Experimental Study in the Industry 4.0 Environment

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F23%3A43970229" target="_blank" >RIV/49777513:23210/23:43970229 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.temjournal.com/content/124/TEMJournalNovember2023_1929_1938.pdf" target="_blank" >https://www.temjournal.com/content/124/TEMJournalNovember2023_1929_1938.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18421/TEM124-02" target="_blank" >10.18421/TEM124-02</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluating the Reliability of a Machine Vision System for Collaborative Robots: An Experimental Study in the Industry 4.0 Environment

Popis výsledku v původním jazyce

This research evaluates the reliability of a machine vision system connected to a collaborative robot. In recent scientific papers, the authors have focused on machine vision itself, machine vision systems and related theory in general, along with machine learning methods, and image processing itself. However, there seems to be a missing link between these topics and the industrial robot&apos;s accuracy in basic tasks when utilizing machine vision. The experiments conducted, took place within an Industry 4.0 laboratory, where 3D-printed objects were utilized as test subjects. The collaborative robot, equipped with machine vision, performed tasks such as object removal and stacking. The evaluation focused on the success rate of object assembly and grasping. The paper discusses the integration of machine vision technology, previous research on reliability, and the use of a 2D camera for the collaborative robot. The findings contribute to understanding the potential of machine vision in enhancing efficiency and precision in collaborative robot workspaces.

Název v anglickém jazyce

Evaluating the Reliability of a Machine Vision System for Collaborative Robots: An Experimental Study in the Industry 4.0 Environment

Popis výsledku anglicky

This research evaluates the reliability of a machine vision system connected to a collaborative robot. In recent scientific papers, the authors have focused on machine vision itself, machine vision systems and related theory in general, along with machine learning methods, and image processing itself. However, there seems to be a missing link between these topics and the industrial robot&apos;s accuracy in basic tasks when utilizing machine vision. The experiments conducted, took place within an Industry 4.0 laboratory, where 3D-printed objects were utilized as test subjects. The collaborative robot, equipped with machine vision, performed tasks such as object removal and stacking. The evaluation focused on the success rate of object assembly and grasping. The paper discusses the integration of machine vision technology, previous research on reliability, and the use of a 2D camera for the collaborative robot. The findings contribute to understanding the potential of machine vision in enhancing efficiency and precision in collaborative robot workspaces.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

TEM JOURNAL-TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS

ISSN

2217-8309

e-ISSN

2217-8333

Svazek periodika

12

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

RS - Srbská republika

Počet stran výsledku

10

Strana od-do

1929-1938

Kód UT WoS článku

001111557300065

EID výsledku v databázi Scopus

2-s2.0-85179073337