Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad ...

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 ...

Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a ...

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 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 ...