Roboflow's workflow combines real and synthetic training data to develop defect detection models for manufacturing applications (Image: Roboflow) Roboflow integrates Nvidia simulation tools to train m ...
As bulk logistics operations face tighter turnaround windows and zero tolerance for unexpected downtime, paper clipboards can ...
A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
Many smaller manufacturers assume they are already behind. But in truth, most of the industry is still early in the AI ...
Abstract: Accurate defect detection is an important element in ensuring product quality and safe equipment operation. However, due to the lack of deep cross-modal interactions (CMIs) during vision ...
Abstract: Surface defect detection is pivotal for quality control in intelligent manufacturing, yet practical applications encounter significant challenges involving scarce samples, large-scale ...
“Semiconductor lithography inspection requires reliable detection of small pattern defects such as bridge, burr, pinch, and contamination. In this study, we propose a two-stage vision-language ...
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