Solar Cell Defects Detection Based on Photoluminescence Images and Upgraded YOLOv5 Model
Solar cells (SCs) are prone to various defects, which affect energy conversion efficiency and even cause fatal damage to photovoltaic modules. In this paper, photoluminescence (PL) imaging is used to visualize SC defects, based on which a detection method based on the YOLOv5 model is explored. At th...
Saved in:
| Main Authors: | Gengcong Xu, Jinhua Huang, Weidong Gong, Jiahui Teng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/je/8397362 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparative Performance Evaluation of YOLOv5, YOLOv8, and YOLOv11 for Solar Panel Defect Detection
by: Rahima Khanam, et al.
Published: (2025-02-01) -
Visualization of defects in perovskite solar cells using electroluminescence, photoluminescence, and thermal imaging methods
by: Koki Kimura, et al.
Published: (2025-01-01) -
Lightweight SCD-YOLOv5s: The Detection of Small Defects on Passion Fruit with Improved YOLOv5s
by: Yu Zhou, et al.
Published: (2025-05-01) -
PO-YOLOv5: A defect detection model for solenoid connector based on YOLOv5.
by: Ming Chen, et al.
Published: (2024-01-01) -
High-Precision Defect Detection in Solar Cells Using YOLOv10 Deep Learning Model
by: Lotfi Aktouf, et al.
Published: (2024-11-01)