Product Digital Quality Inspection using Machine Vision Systems – A Categorical Review-Reference-Cited by-同舟云学术

Product Digital Quality Inspection using Machine Vision Systems – A Categorical Review

Published:2022-06-07 Issue: Volume: Page:
ISSN:
Container-title:2022 17th Annual System of Systems Engineering Conference (SOSE)
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Author:

Reyna Mark¹,Delgado Guadalupe²,Akundi Aditya³,Luna Sergio⁴,Chumacero Erik³

Affiliation:

1. University of Texas Rio Grande Valley,Complex Engineering Systems Laboratory,Brownsville,Texas,United States

2. University of Texas Rio Grande Valley,Dept. of Manufacturing and Industrial Engineering,Edinburg,Texas,United States

3. University of Texas Rio Grande Valley,Dept. of Informatics and Engineering Systems,Brownsville,Texas,United States

4. University of Texas at El Paso El,Industrial Manufacturing and Systems Engineering Dept,Paso,Texas,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9812583/9812630/09812687.pdf?arnumber=9812687

Reference50 articles.

1. Inspecting spring clamp dimensions with machine vision

2. Using Machine Vision to Develop an On-Machine Thread Measurement System for Computer Numerical Control Lathe Machines;lee;Lecture Notes in Engineering and Computer Science Proceedings of The International Multi-Conference of Engineers and Computer Scientists,2019

3. Colored rice quality inspection system using machine vision

4. Machine vision based quality analysis of rice grains

5. A machine vision algorithm for quality control inspection of gears

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