Automated glaucoma detection in images obtained by scanning laser polarimetry is currently insensitive to local abnormalities, impairing its performance. The purpose of this investigation was to test ...
Optical 3D metrology enables fast, non-contact surface roughness measurement of defects and roughness for precise ...
RAILWAY AGE MARCH 2022 ISSUE: Since 2020, Transportation Technology Center, Inc. (TTCI) has been conducting tests to evaluate the capability of electromagnetic acoustic transducer (EMAT) ...
Advanced machine learning is beginning to make inroads into yield enhancement methodology as fabs and equipment makers seek to identify defectivity patterns in wafer images with greater accuracy and ...
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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 ...
Chipmakers worldwide consider Automatic Test Pattern Generation (ATPG) their go-to method for achieving high test coverage in production. ATPG generates test patterns designed to detect faults in the ...
The main objective of this project is to let students apply the image processing techniques that been taught in class in a given conditions based on their title. This particular project involved the ...
Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...
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