In the manufacturing process of printed circuit boards (PCBs), surface defects have a significant negative impact on product quality. Considering that traditional object detection algorithms have low ...
With the rapid evolution of UAV technology, intelligent power equipment inspection via aerial imagery is critical. To address traditional insulator defect detection bottlenecks (high false/missed ...
Researchers in China have developed a novel deep learning model to detect defects in photovoltaic panels. The approach leverages high-resolution visible light imaging to identify defects using an ...
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