Abstract: Printed circuit board (PCB) surface defect detection is crucial for ensuring product quality and improving production efficiency. In recent years, deep learning-based methods have achieved ...
NCAB Group AB ( (SE:NCAB)) has issued an update. NCAB Group AB has completed the acquisition of Swedish PCB company Multi-Teknik Mönsterkort AB, previously announced in November, in a deal valued at ...
Obstetricians at Mount Sinai were the first in New York City to use an artificial intelligence tool that can lead to early detection of congenital heart defects in fetuses. Doctors in the Raquel and ...
Cancer continues to be one of the world's top causes of death, partly because of delayed discovery of the disease. But according to a recently released study, a simple blood test may be able to ...
This project code is forked from https://github.com/DetectionTeamUCAS/FPN_Tensorflow. I have only made minor changes on this wonderful and clear project. Thanks for ...
As advanced packaging pushes deeper into the sub-10µm realm, traditional inspection and metrology systems are being forced to evolve with it. Hybrid bonding, a critical enabler of vertical integration ...
To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
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