Abstract: Real-time accurate defect detection presents a critical bottleneck in high-throughput Printed Circuit Board Assembly (PCBA) manufacturing. Although contemporary state-of-the-art (SOTA) ...
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/ ├── ...
In high-traffic environments like hospitals, schools, and casinos, security leaders face an everyday trade-off: increased rigor with longer lines, frustrated visitors, and operational disruptions, or ...
1 Guangzhou Institute of Metrology and Testing Technology, Guangzhou, China 2 School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China Introduction ...
NVIDIA leverages generative AI and vision foundation models to enhance semiconductor defect classification, addressing limitations of traditional CNNs and improving manufacturing efficiency. As the ...
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 ...
A group of researchers led by Nanjing University in China has developed a perovskite solar cell based on a dipolar passivation strategy that reportedly reduces defect density at the buried interface ...
Korean researchers revealed that efficiency losses in heterojunction solar cells arise from two coexisting defect types – dangling bonds and weak silicon-silicon bonds. Their findings explain how ...
A joint research team led by Dr. Hee-Eun Song of the Photovoltaics Research Department at the Korea Institute of Energy Research (President Yi Chang-Keun, hereafter “KIER”) and Prof. Ka-Hyun Kim of ...
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