The detection of wood defect is a crucial step in wood processing and manufacturing,
determining the quality and reliability of wood products. To achieve accurate wood defect …

In the rapidly evolving electric vehicle industry, the reliability of electronic systems is critical
to ensuring vehicle safety and performance. Printed circuit boards (PCBs), serving as a …

The presence of defects in substation equipment is a major factor affecting the safety of
power transmission. Therefore, timely and accurate detection of these defects is crucial. As …

To improve the detection accuracy of surface defects in dental nails in the current medical
manufacturing industry, while reducing the model size and making it easy to deploy on …

Current mainstream methods for detecting surface blemishes on substation equipment
typically rely on extensive sets of blemish images for training. However, the unpredictable …

With the continuous progress of science and technology, electric power equipment detection
systems are developing in the direction of artificial intelligence. To achieve good automatic …

Defect detection of substation equipment plays a vital role in the power system, which
contributes to the safe operation of the power system. To accurately detect the substation …

The lack of defect image data is one of the main factors affecting the accuracy of supervised
deep learning-based defect detection models. In response to the insufficient training data of …