Robots are rapidly moving beyond pre-programmed automation into a new era of adaptive, learning-driven autonomy. At the ...

Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, reduces material waste, ...

Researchers from the Institute of Physics in Zagreb have shown that depositing a thin layer of organic molecules on ...

Hancock Iron Ore is transforming rail safety and maintenance with its AI-powered TrackDefectX defect-detection system.

Abstract: Micro-LEDs are pivotal for next-generation display and sensing technologies, where high-precision defect inspection is essential. Existing methods often struggle with subtle inter-class ...

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 ...

During the reconstruction and expansion of expressways, defects at the roadbed junction can compromise driving safety and significantly reduce the service life of the road. Based on engineering cases, ...

Abstract: Multilayer ceramic capacitors (MLCCs) may present various shapes, sizes, and subtle defects during manufacturing, which can affect their performance and functionality. However, existing ...

YOLOv7 is an advanced deep learning algorithm for object detection, representing an improved version of the YOLO (You Only Look Once) series. Utilizing an end-to-end training approach based on deep ...

ABSTRACT: Regular pipeline inspections are crucial for timely identification of critical defects and ensuring pipeline integrity. To address the challenges of detecting defects in PE gas pipelines ...