This project provides a complete pipeline for detecting surface defects on hot-rolled steel strips using either pre-trained deep learning models (YOLOv5/YOLOv7) or classical image processing ...

🎯 Project Overview Developed an enterprise-grade automated defect detection system for CAD drawings and technical documentation, combining computer vision, machine learning, and advanced image ...

The size of the global security testing market is expected to increase at a Compound Annual Growth Rate (CAGR) of 24.7% from ...

Malicious GitHub repositories used by threat actors to host Amadey payloads and steal data, impacting targeted entities.

TDK Corporation unveiled the latest TDK SensEI product line, edgeRX Vision. edgeRX Vision is a high-speed defect detection ...

From Bluetooth exploits in vehicles to macOS backdoors and GitHub phishing tricks—this week’s threats go deeper than they appear.

KHS GmbH looks to meet inspection demands for PET bottles by using AI in its Innocheck TSI for improved cap fault detection.

This paper proposes a Cascade R-CNN steel defect detection method based on improved multi head attention mechanism and dynamic multi-stage loss reweighting, and validates it on the Northeastern ...

Aiming at the problem that the existing target detection algorithms have insufficient recognition performance for small target defects such as metal corrosion and insulator damage in substation ...