Visual Control of Weld Defects Using Computer Vision System on FANUC Robot
Author:
Affiliation:
1. Institute of Engineering and Technology South Ural State University (national research university),Chelyabinsk,Russian Federation
Funder
Russian Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9786772/9787073/09787245.pdf?arnumber=9787245
Reference24 articles.
1. Online visual quality inspection for weld seams
2. Computer vision system for weld bead geometric analysis
3. Thermocouple welding joint defects detection system based on computer vision
4. On-line inspection of surface mount devices using vision and infrared sensors
5. Pre- and postweld inspection using laser vision
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1. A technology maturity assessment framework for Industry 5.0 machine vision systems based on systematic literature review in automotive manufacturing;International Journal of Production Research;2023-10-17
2. Detection of Defects in Welded Joints Based on Data from the Computer Vision System Using YOLOv5;2023 International Ural Conference on Electrical Power Engineering (UralCon);2023-09-29
3. Weld Surface Defect Detection Based on a Laser Scanning System and YOLOv5;2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2023-05-15
4. Classification of Weld Defects Based on Computer Vision System Data and Deep Learning;2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2023-05-15
5. An Optical Approach for Cell Pellet Detection;SLAS Technology;2023-02
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