By showing practical ways to detect when and where these defects form, US researchers can help make future devices more ...
Future devices will continue to probe the frontier of the very small, and at scales where functionality depends on mere atoms, even the tiniest flaw matters. Researchers at Rice University have shown ...
The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...
Industrial quality inspection plays a critical role in manufacturing, from ensuring the reliability of electronics and vehicles to preventing costly failures in aerospace and energy systems.
Using commercially available technology and innovative methods, researchers at NBI have pushed the limits of how fast you can ...
The Vajra-2020MRS 20MP AR2020 USB 3.2 Gen 2X2 UVC camera based on the Onsemi HyperLux™ LP AR2020 is intended for embedded vision systems that require high data throughput, low latency, and ...
Vitrek, a US-based manufacturer of high-precision test and measurement equipment, offers the 95X Series hipot tester with 100 pico-amp leakage current resolution for detecting micro-level insulation ...
Abstract: It is an important research area to optimize object detection methodology for improving the performance of steel surface defect detection. However, existing research is suffering from the ...
Abstract: Efficient and accurate detection of surface defects on trains is crucial for ensuring train safety. However, the insufficient defect samples and their diverse patterns make defect detection ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
Obstetricians at Mount Sinai were the first in New York City to use an artificial intelligence tool that can lead to early detection of congenital heart defects in fetuses. Doctors in the Raquel and ...
Doctors in the Raquel and Jaime Gilinski Department of Obstetrics, Gynecology and Reproductive Science at Mount Sinai have become the first in New York City to implement an artificial intelligence (AI ...
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