LW-PV DETR: lightweight model for photovoltaic panel surface
Compared to other mainstream object detection models, LW-PV DETR also demonstrates excellent detection performance, providing an important reference for research on
Enhanced photovoltaic panel defect detection via adaptive
Detecting defects on photovoltaic panels using electroluminescence images can significantly enhance the production quality of these panels. Nonetheless, in the process of defect
Fault Detection and Classification for Photovoltaic Panel System
The deployment of solar photovoltaic (PV) panel systems, as renewable energy sources, has seen a rise recently. Consequently, it is imperative to implement efficient methods for the
A novel deep learning model for defect detection in photovoltaic panels
Visible light imaging offers broad coverage and low cost, enabling extensive inspections. To address the current limitations of low precision and high image data requirements in defect
Defect Detection of Photovoltaic Panels to Suppress Endogenous
Efficient and intelligent surface defect detection of photovoltaic modules is crucial for improving the quality of photovoltaic modules and ensuring the reliable operation of large-scale
An effective approach to improving photovoltaic
Enhanced photovoltaic panel defect detection via adaptive complementary fusion in YOLO-ACF Article Open access 02 November 2024
A photovoltaic panel defect detection framework enhanced by
This paper proposes a photovoltaic panel defect detection method based on an improved YOLOv11 architecture. By introducing the CFA and C2CGA modules, the YOLOv11 model is
LEM-Detector: An Efficient Detector for Photovoltaic Panel
Photovoltaic panel defect detection presents significant challenges due to the wide range of defect scales, diverse defect types, and severe background interference, often leading to a high
Photovoltaic panel defect detection algorithm based on infrared
To address the challenges of high missed detection rates, complex backgrounds, unclear defect features, and uneven difficulty levels in target detection during the industrial process of
Investigation on a lightweight defect detection model for photovoltaic
Existing detection models face challenges in effectively balancing the trade-off between detection accuracy and resource consumption. To address this issue, this paper proposes a new