For decades, optical inspection has been the primary method for process control in fabs. However, the move to multi-level ...
Agrograde uses AI to make post-harvest farming fairer and more efficient, reducing losses and empowering thousands of Indian ...
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/ ├── ...
The European Space Agency (ESA) is accelerating a quiet revolution on the factory floor: using artificial intelligence to design, inspect, ...
Doctors in the Raquel and Jaime Gilinski Department of Obstetrics, Gynecology and Reproductive Science at Mount Sinai have become the first in New York City to implement an artificial intelligence (AI ...
DDA provides real-time defect detection capabilities for manufacturing quality control using computer vision and machine learning. The system runs at the edge using AWS IoT Greengrass, enabling ...
For decades, the retail industry has faced the same persistent problems of empty shelves, pricing errors and inventory discrepancies. Despite having spent billions of dollars on data analytics and ...
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Abstract: To ensure the quality of products, it is crucial to inspect and assess their condition in quality control. Among all of the methods, surface inspection is a critical step to identify ...