Abstract: Due to the aging of industrial equipment, safety accidents have become increasingly frequent. The prolonged use of mechanical equipment often leads to corrosion and rust on metal surfaces, ...
Abstract: Surface Defect Detection (SDD) aims to accurately localize defects based on predefined category labels in industrial manufacturing. Different from generic object detection, the industrial ...
Abstract: Quality inspection is essential in quality control for particle board manufacturing and plays a key role in achieving Zero Defect Manufacturing (ZDM). Manual inspection, however, is limited ...
Abstract: With the widespread application of printed circuit boards (PCBs) in electronic manufacturing, the complexity and accuracy of their production processes continue to increase. Traditional ...
Abstract: This work presents a novel framework integrating federated learning with continual learning algorithms for metal surface defect detection and segmentation in automotive manufacturing. The ...
One American company is working to replace a key, rare earth mineral used by the military by using a technology of its own. LightPath Technologies , an Orlando, Florida-based optics and photonics ...
Abstract: The work proposes a metal surface defect detection method based on Gradient Vector Flow (GVF) Snakes for precise localization and Gray Level Co-occurrence Matrix (GLCM). The idea combines ...
The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...
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