Real-time tracking method for motion spatter in high-power laser welding of stainless steel plate based on a lightweight deep learning model

Author:

Cai WangORCID,Shu LeShiORCID,Geng ShaoNingORCID,Zhou QiORCID,Cao LongChaoORCID

Publisher

Elsevier BV

Reference51 articles.

1. Simple online and realtime tracking;Bewley,2016

2. YOLOv4: Optimal speed and accuracy of object detection;Bochkovskiy;Computer Vision and Pattern Recognition,2020

3. A model-based approach for in-situ automatic defect detection in welds using ultrasonic phased array;Bouzenad;Expert Systems with Applications,2022

4. Real-time laser keyhole welding penetration state monitoring based on adaptive fusion images using convolutional neural networks;Cai;Journal of Intelligent Manufacturing,2023

5. Machine vision-based spatter monitoring method and spatter characterization for high power laser welding process;Cai;Chinese Journal of Lasers,2023

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