Source: US Army Field Manual FM 55-20 (public domain ... Collectively known in the railroad business as “defect detection,” the sensors and systems installed periodically along railroad ...

“AI-based detection doesn’t just increase throughput,” said Alkoken. “It significantly reduces false alarms and simplifies defect binning. In production fabs, manual review workloads have decreased by ...

Conventionally, defect detection was performed manually by human beings who are highly susceptible to fatigue, biases, and inattentiveness. However, currently manual inspection is enhanced by rule ...

These benchmark methods include the Faster Region Based Convolutional Neural Network (FRCNN) with ResNet50, RetinaNet, and You-Only-Look-Once (YOLO) for defect detection and identification ...

The automated system also minimizes the need for manual inspections, which typically take more time and are less likely to detect tiny defects. "The updated machine vision technology is the next step ...

The company plans to continue to enhance the AI by sharing relevant data through partnerships with substrate industry customers and suppliers, and expand the application to other image-based optical ...

A team of physicists at the University of Cambridge has unveiled a breakthrough in quantum sensing by demonstrating the use of spin defects in hexagonal boron nitride (hBN) as powerful ...