Photovoltaic panel surface inspection

Can photovoltaic surface defect detection be improved?

To overcome the limitation of detection accuracy and speed, an improved photovoltaic surface defect detection method is proposed in this paper. You Only Look Once-v5 (YOLO-v5) is adopted as the main method.

What is PV panel defect detection?

The task of PV panel defect detection is to identify the category and location of defects in EL images.

How machine vision is used in photovoltaic panel defect detection?

Machine vision-based approaches have become an important direction in the field of defect detection. Many researchers have proposed different algorithms 11, 15, 16 for photovoltaic panel defect detection by creating their own datasets.

What are some examples of photovoltaic surface defect detection?

Further examples, such as You Only Look Once-v3 (YOLO-v3) , MobileNetV2 , and ShuffleNet , demonstrate the potential for photovoltaic (PV) surface defect detection.

Can El images be used for photovoltaic panel defect detection?

Buerhop et al. 17 constructed a publicly available dataset using EL images for optical inspection of photovoltaic panels. Based on this dataset, researchers have developed numerous algorithms 9, 10, 12 for photovoltaic panel defect detection.

Do solar panels need a defect inspection?

The need for automatic defect inspection of solar panels becomes more vital with higher demands of producing and installing new solar energy systems worldwide.