Optics and Precision Engineering, Volume. 32, Issue 14, 2286(2024)
Solar cell defect detection network combining multiscale feature and attention
[1] ZHENG X Q, ZHENG S, KONG Y G et al. Recent advances in surface defect inspection of industrial products using deep learning techniques[J]. The International Journal of Advanced Manufacturing Technology, 113, 35-58(2021).
[2] [2] 赵朗月, 吴一全. 基于机器视觉的表面缺陷检测方法研究进展[J]. 仪器仪表学报, 2022, 43(1): 198-219.ZHAOL Y, WUY Q. Research progress of surface defect detection methods based on machine vision[J]. Chinese Journal of Scientific Instrument, 2022, 43(1): 198-219.(in Chinese)
[3] [3] 马桂艳, 张红妹, 史金超, 等. 基于电致发光的太阳能电池检测方法研究[J]. 光电子技术, 2020, 40(3): 213-216.MAG Y, ZHANGH M, SHIJ C, et al. Study of electroluminescence imaging as a method to detect the defects of solar cells[J]. Optoelectronic Technology, 2020, 40(3): 213-216.(in Chinese)
[4] [4] 夏中高, 彭平, 景彦姣, 等. EL检测PERC电池中间缺陷成因及改善方法的研究[J]. 太阳能学报, 2023, 44(6): 198-203.XIAZ G, PENGP, JINGY J, et al. Study on causes and improvement methods of intermediate defects in perc cells detected by el[J]. Acta Energiae Solaris Sinica, 2023, 44(6): 198-203.(in Chinese)
[5] SU B Y, CHEN H Y, CHEN P et al. Deep learning-based solar-cell manufacturing defect detection with complementary attention network[J]. IEEE Transactions on Industrial Informatics, 17, 4084-4095(2021).
[6] ZHANG M, YIN L J. Solar cell surface defect detection based on improved YOLO v5[J]. IEEE Access, 10, 80804-80815(2022).
[7] XU S W, QIAN H M, SHEN W Y et al. Defect detection for PV Modules based on the improved YOLOv5s[C], 1431-1436(2022).
[8] [8] 张大胜, 肖汉光, 文杰, 等. YOLOv5上融合多特征的实时火焰检测方法[J]. 模式识别与人工智能, 2022, 35(6): 548-561.ZHANGD S, XIAOH G, WENJ, et al. Real-time fire detection method with multi-feature fusion on YOLOv5[J]. Pattern Recognition and Artificial Intelligence, 2022, 35(6): 548-561.(in Chinese)
[9] [9] 陈海永, 袁乐, 王世杰, 等. 基于多尺度编码互补注意力网络的光伏缺陷检测[J]. 太阳能学报, 2023, 44(10): 191-197.CHENH Y, YUANL /Y), WANGS J, et al. Photovoltaic defect detection based on multi-scale coding complementary attention network[J]. Acta Energiae Solaris Sinica, 2023, 44(10): 191-197.(in Chinese)
[10] ZENG N Y, WU P S, WANG Z D et al. A small-sized object detection oriented multi-scale feature fusion approach with application to defect detection[J]. IEEE Transactions on Instrumentation and Measurement, 71, 3507014(2022).
[11] [11] 周涛, 杜玉虎, 石道宗, 等. 强化特征提取能力的下颌骨骨折检测3M-YOLOv5网络[J]. 光学 精密工程, 2023, 31(21): 3178-3191. doi: 10.37188/ope.20233121.3178ZHOUT, DUY H, SHID Z, et al. Mandibular fracture detection with 3M-YOLOv5 network based on enhanced feature extraction capability[J]. Opt. Precision Eng., 2023, 31(21): 3178-3191.(in Chinese). doi: 10.37188/ope.20233121.3178
[12] HAN K, WANG Y H, TIAN Q et al. GhostNet: more features from cheap operations[C], 1577-1586(2020).
[13] WANG C, BAI X, WANG S et al. Multiscale visual attention networks for object detection in VHR remote sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 16, 310-314(2019).
[14] WANG J L, XU C Q, YANG Z L et al. Deformable convolutional networks for efficient mixed-type wafer defect pattern recognition[J]. IEEE Transactions on Semiconductor Manufacturing, 33, 587-596(2020).
[15] DAI J F, QI H Z, XIONG Y W et al. Deformable convolutional networks[C], 764-773(2017).
[16] [16] 刘彦磊, 李孟喆, 王宣宣. 轻量型YOLOv5s车载红外图像目标检测[J]. 中国光学(中英文), 2023(5): 1045-1055. doi: 10.37188/co.2022-0254LIUY L, LIM Z, WANGX X. Lightweight YOLOv5s vehicle infrared image target detection[J]. Chinese Optics, 2023(5): 1045-1055.(in Chinese). doi: 10.37188/co.2022-0254
[17] HOU Q B, ZHOU D Q, FENG J S. Coordinate attention for efficient mobile network design[C], 13708-13717(2021).
[19] [19] 周启宸, 王伯超. 基于改进YOLOv7的太阳能电池片表面缺陷检测[J]. 计算机应用, 2023, 43(S02): 223-228.ZHOUQ C, WANGB C. Solar cell surface defect detection based on improved YOLOv7[J]. Journal of Computer Applications, 2023, 43(S02): 223-228.(in Chinese)
[20] TAN M X, PANG R M, LE Q V. EfficientDet: scalable and efficient object detection[C], 10778-10787(2020).
[21] LIU W, ANGUELOV D, ERHAN D et al[M]. SSD: single shot MultiBox detector, 21-37(2016).
Get Citation
Copy Citation Text
Ying ZHOU, Shibo XU, Haiyong CHEN, Kun LIU. Solar cell defect detection network combining multiscale feature and attention[J]. Optics and Precision Engineering, 2024, 32(14): 2286
Category:
Received: Dec. 4, 2023
Accepted: --
Published Online: Sep. 27, 2024
The Author Email: Ying ZHOU (zhouying2007@163.com)