LightYOLO: Lightweight model based on YOLOv8n for defect detection of ultrasonically welded wire terminations
Defect inspection of the surface in ultrasonically welded wire terminations is an important inspection procedure to ensure welding quality. However, the detection task of ultrasonic welding defects based on deep learning still faces the challenges of low detection accuracy and slow inference speed....
Saved in:
| Main Authors: | Jianshu Xu, Lun Zhao, Yu Ren, Zhigang Li, Zeshan Abbas, Lan Zhang, Md Shafiqul Islam |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098624002829 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Investigation of joint formation in aluminum wire and nickel-coated copper terminals using ultrasonic welding
by: Haohan Zhang, et al.
Published: (2025-07-01) -
QUALITY CRITERIA OF WELDED JOINT ULTRASONIC TESTING
by: Alexander S. Korobtsov, et al.
Published: (2011-12-01) -
The Influence of Welding Parameters on the Performance of Ultrasonic-Welded Copper-to-Copper Joints
by: Koen Faes, et al.
Published: (2025-02-01) -
Modeling and Designing of Ultrasonic Welding Systems
by: Andrzej MILEWSKI, et al.
Published: (2015-01-01) -
Ultrasonic Processing Across Different Phases in Laser Welding of Large Thin-Walled Structures
by: Haodong LIU, et al.
Published: (2025-02-01)