Abstract: To address the issues of high computational complexity, limited detection types, and low detection accuracy inherent in existing insulator defect detection methods within the power industry, ...

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 ...

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 ...

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 ...