A Framework for Automated Quality Control of Wood-Framed Panels in Robotic-Based Manufacturing Using Computer Vision and Deep Learning-Reference-Cited by-同舟云学术

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A Framework for Automated Quality Control of Wood-Framed Panels in Robotic-Based Manufacturing Using Computer Vision and Deep Learning

Published:2024-03-18 Issue: Volume:139 Page:456-465
ISSN:
Container-title:Construction Research Congress 2024
language:
Short-container-title:

Author:

Xie Chao¹²³,Tehrani Behnam M.¹²³,Alwisy Aladdin¹²³

Affiliation:

1. M.Sc. Student, Smart IDC Lab, M.E. Rinker, Sr. School of Construction Management, Univ. of Florida.

2. Ph.D. Student, Smart IDC Lab, M.E. Rinker, Sr. School of Construction Management, Univ. of Florida.

3. Assistant Professor, Smart IDC Lab, M.E. Rinker, Sr. School of Construction Management, Univ. of Florida.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485262.047

Reference26 articles.

1. CLOI-NET: Class segmentation of industrial facilities’ point cloud datasets

2. Server-Customer Interaction Tracker: Computer Vision–Based System to Estimate Dirt-Loading Cycles;Azar E. R.;J Constr Eng Manag,2012

3. Construction robotics

4. The future of construction automation: Technological disruption and the upcoming ubiquity of robotics

5. A vision system for the online quality monitoring of industrial manufacturing;Di Leo G.;Opt Lasers Eng,2016

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