Abstract: The integration of large-scale circuits and systems emphasizes the importance of automated defect detection of electronic components. The YOLO image detection model has been used to detect ...

Abstract: To address the challenges of low detection accuracy and inaccurate localization of certain defects in pipeline internal defect detection. We propose an enhanced deep learning model, ALW-YOLO ...

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 ...

WILMINGTON, N.C. (WECT) - February is Heart Health Month and next week begins Congenital Heart Defect Awareness Month. Dr. Lance Lewis, a cardiologist with Novant Health, was in the studio to discuss ...

The system, developed by Panevo, a Canadian clear technology and manufacturing analytics company, reportedly achieved approximately 97% detection reliability with minimal false positives of Muskoka’s ...

The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...

DDA provides real-time defect detection capabilities for manufacturing quality control using computer vision and machine learning. The system runs at the edge using AWS IoT Greengrass, enabling ...

Introduction: Accurate defect detection in dissimilar metal welds (DMWs) remains a major challenge due to heterogeneous microstructures and imaging noise. Methods: In this study, we propose a novel ...

1 Department of Civil and Environmental Engineering and Construction, University of Nevada, Las Vegas, NV, USA. 2 Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, NV ...