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October 19, 2025EnergiesOpen Access

YOLO-PV: An Enhanced YOLO11n Model with Multi-Scale Feature Fusion for Photovoltaic Panel Defect Detection

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YOLO-PV enhances defect detection accuracy for photovoltaic panels, proving to be a reliable solution for maintenance.
The model shows a 6.7% increase in precision compared to conventional detectors, showcasing its effectiveness in real-time applications.
YOLO-PV incorporates novel modules for multi-scale feature fusion, addressing limitations of traditional detectors.
Evaluated on the PVEL-AD dataset, its improvements signal significant advancements in photovoltaic defect identification.

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YOLO-PV improves defect detection accuracy by 6.7% in photovoltaic panels, highlighting multi-scale feature utilization.

Cai et al. (2025) studied this question.

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