Automatic inspection technology for assembly compliance of satellite honeycomb sandwich panel based on machine vision

Fenglong Yang; Aijing Ni; Bin Wang; Wangzhu Yu; Qing Guo; Jie Zhao; Zihui Cai; Lixia Liu; Wenjuan Xue; Bing Pan

doi:10.1117/12.2660715

31 October 2022 Automatic inspection technology for assembly compliance of satellite honeycomb sandwich panel based on machine vision

Fenglong Yang, Aijing Ni, Bin Wang, Wangzhu Yu, Qing Guo, Jie Zhao, Zihui Cai, Lixia Liu, Wenjuan Xue, Bing Pan

Author Affiliations +

Proceedings Volume 12457, Second International Conference on Testing Technology and Automation Engineering (TTAE 2022); 124571S (2022) https://doi.org/10.1117/12.2660715
Event: Second International Conference on Testing Technology and Automation Engineering (TTAE 2022), 2022, Changchun, China

Abstract

A machine vision-based automatic inspection system for satellite honeycomb sandwich panel assembly compliance is designed through image segmentation technology based on 3D reconstruction and registration and contour extraction technology based on the grayscale image for the rapid measurement of the assembly compliance of inserts of the satellite honeycomb sandwich structural panels before the cover is closed. Matching and calculating the inspection data with the read CAD model to determine the wrong and missed installed embedded parts and styrofoam and calculate their position accuracy. The effectiveness of the method has been proven through validation tests on actual satellite honeycomb sandwich structural panel products, with over 300% improvement in efficiency compared with the traditional manual visual method.

Citation Download Citation

Fenglong Yang, Aijing Ni, Bin Wang, Wangzhu Yu, Qing Guo, Jie Zhao, Zihui Cai, Lixia Liu, Wenjuan Xue, and Bing Pan "Automatic inspection technology for assembly compliance of satellite honeycomb sandwich panel based on machine vision", Proc. SPIE 12457, Second International Conference on Testing Technology and Automation Engineering (TTAE 2022), 124571S (31 October 2022); https://doi.org/10.1117/12.2660715

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available