The New York Times

‘Deep Water’ Review: Prepare for an Emergency Landing, With Fins

The action director Renny Harlin combines two different kinds of disaster movies, with lots of gory shark scenes. By Glenn Kenny When you purchase a ticket for an independently reviewed film through ...
Nature

Research on metal surface defect detection method based on deep learning

To address the low detection accuracy of existing aluminum-profile surface defect algorithms, an improved YOLOv8s-based model named CDA-YOLOv8 is proposed. The CG Block replaces the original 3 × 3 ...
Nature

High-throughput defect detection and coverage quantification of graphene grids via a dual-stage deep learning framework

Graphene grids exhibit exceptional loading capacity for macromolecules, single atoms, and nanoparticles, offering significant potential for exploring the structure and properties of various materials ...
GitHub

Video Object Detection in Java with OpenCV + YOLO11 — full end-to-end tutorial

OpenCV is a set of libs written in C++ and the compiled into platform-native lib format: *.dll - for Windows, or *.dylib - for Linux / Mac OS. They can be accessed from Java via Java wrapper included ...
IEEE

An Efficient Defect Detection Method for MLCC Based on EHL-DETR Deep Learning Model

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

Cheng, J.C.P. and Wang, M. (2018) Automated Detection of Sewer Pipe Defects in Closed-Circuit Television Images Using Deep Learning Techniques. Automation in Construction, 95 ...

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 ...
Phys.org

Deep learning automates defect detection in 2D materials

A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...
Scientific Research Publishing

BCN-YOLO: A Deep Learning Network for PCB Defect Detection ()

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
IEEE

Computer Vision Based Intelligent Detection Of Surface Irregularities with YOLO and OpenCV using Deep Learning

Abstract: Surface defects like cracks, scratches, and corrosion must be accurately detected in order to prolong the life span and enhance the performance and reliability of steel products in ...
LinkedIn

Revolutionizing Automated Optical Inspection: How Deep Learning Enhances Real-Time Defect Detection and Reduces False Rejects

In the fast-paced world of manufacturing, maintaining impeccable product quality is not just a goal-it’s a necessity. Automated Optical Inspection (AOI) systems have been at the forefront of quality ...
LinkedIn

Deep Learning for Defect Detection in Buildings

Deep learning is transforming defect detection in buildings, making inspections faster, cheaper, and more accurate. As the construction industry embraces AI, we can expect a future where buildings are ...