Traditional vision methods for solar cell defect detection have problems such as low accuracy and few types of detection. so this paper proposes an optimized YOLOv5 model for more accurate and comprehensive identification of defects in solar cells. The model firstly integrates five data enhancement methods. namely Mosaic. https://allfixelectricales.shop/product-category/dryer-motor-mounts/