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Image-based model enhances the detection of surface defects in low-light industrial settings
In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and safety. However, conventional methods rely on heavy computational ...
A collaborative team led by Prof. Yi Xiong from Wuhan Textile University, Prof. Wei Zeng from Anhui University, and Prof.
Optical 3D metrology enables fast, non-contact surface roughness measurement of defects and roughness for precise ...
In addition to surface and subsurface defects, residual stress represents a concern. Over time, these stress points, ...
SpectX, TNO, and partners GE Vernova and LM Wind Power, will start a 2-years project to detect sub-surface defects in wind turbine blades by drone X-ray inspection. The findings will be integrated ...
Onto has received multiple orders in support of high bandwidth memory (HBM), advanced logic and a variety of specialty segments WILMINGTON, Mass.--(BUSINESS WIRE)--Onto Innovation Inc. (NYSE: ONTO) ...
Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...
Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in ...
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