Hancock Iron Ore is transforming rail safety and maintenance with its AI-powered TrackDefectX defect-detection system.
This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...
On the technology spectrum, railroads would certainly seem to skew toward the brutally simplistic side of things. A couple of strips of steel, some wooden ties and gravel ballast to keep everything in ...
Optical 3D metrology enables fast, non-contact surface roughness measurement of defects and roughness for precise ...
This article is adapted from a presentation at TestConX, March 5-8, 2023, Mesa, AZ, by Vijayakumar Thangamariappan, Nidhi Agrawal, Jason Kim, Constantinos Xanthopoulos, Ira Leventhal, and Ken Butler, ...
Tech Xplore on MSN
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 ...
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 ...
ATPG targets faults at IC-gate boundaries, but 50% of defects are located within cells. Learn how cell-aware ATPG and user-defined fault models help to ferret out these hard-to-squash bugs.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback