The AI factory revolution has arrived, but it looks different than the passive analytics of the past decade. The industry is ...

New compact platforms reduce cost, footprint and complexity of automated inspection for manufacturers entering Industry ...

The semiconductor industry is evolving with quantum imaging and AI-driven technologies, enhancing defect detection and ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

Industrial quality inspection plays a critical role in manufacturing, from ensuring the reliability of electronics and vehicles to preventing costly failures in aerospace and energy systems.

Abstract: This research focuses on the automatic detection of road surface defects using deep learning methods applied to orthomosaic imagery. Aerial images were captured using a DJI Air 2S drone, ...

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/ ├── ...

Researchers report a machine learning approach to predict LPBF defects from up-skin and down-skin angles, suggesting there might be angle-aware process control for metal AM. Laser Powder Bed Fusion ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...