In addition to surface and subsurface defects, residual stress represents a concern. Over time, these stress points, ...
Abstract: This paper presents a near-field microwave non-destructive testing (NDT) method for estimating the depth of subsurface defects in glass-fiber reinforced polymer (GFRP) using single-frequency ...
Researchers from the Institute of Physics in Zagreb have shown that depositing a thin layer of organic molecules on ...
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AI system with smart eyes detects welding defects
Örebro researchers Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, ...
Researchers from Helmholtz Munich and the Technical University of Munich (TUM) have developed "fast-RSOM," a new imaging ...
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Detecting 'hidden defects' that degrade semiconductor performance with 1,000X higher sensitivity
Semiconductors are used in devices such as memory chips and solar cells, and within them may exist invisible defects that interfere with electrical flow. A joint research team has developed a new ...
Abstract: Aiming at the problem of insufficient detection accuracy for small target defects on steel surfaces, which often leads to missed detections and false alarms, this paper improves upon the ...
In this guide, we will perform multiclass defect detection on PCB images using distributed PyTorch training across multiple nodes and workers within a Snowflake Notebook. This guide utilizes a ...
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