Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...

An end-to-end deep learning system for automated PCB defect detection that combines computer vision with domain expertise. This project demonstrates the practical application of AI in industrial ...

Atomic defects can tune carbon quantum dots across UV to near-infrared light, guiding cleaner design of sensors, bioimaging ...

A software workflow automates X-ray analysis to spot crystal defects in diamond and advanced semiconductors, helping improve ...

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

AI Magazine explores the leading computer vision platforms, including those from the likes of Amazon, Google, Microsoft and more Computer vision has transitioned from a futuristic concept to a ...

A deep learning–based computer vision training pipeline for car damage detection using a Co-DETR learner enhanced with CBAM Attention, Hybrid Loss, and Albumentations. Trains on Colab to identify and ...

Abstract: Detecting packaging defection with high accuracy and efficiency is of great significance in product quality. We use OpenCV to preprocess images which come from damaged package according to ...

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 ...