There's a fundamental shift in what's possible on the factory floor and it's being transformed by embedded AI, agentic ...

Xiong, S. , Sun, H. , Sun, T. , Li, Q. and Lu, H. (2026) Research on an Intelligent Algorithm for the Restoration of Fractured Aero Engine Wheel Disks. Journal of Computer and Communications, 14, 1-16 ...

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...

Industrial quality inspection plays a critical role in manufacturing, from ensuring the reliability of electronics and vehicles to preventing costly ...

Powered by Infineon FX20 and Onsemi HyperLux AR2020, Vajra-2020MRS streams uncompressed 20 MP over USB-C, delivering low-latency 5K-class imaging on native UVC ...

The evolution of AI-powered vehicle inspection has moved rapidly from experimental research to an essential pillar of the modern automotive ecosystem. Historically, vehicle checks were manual and ...

Abstract: This paper presents a Computer Vision Based Pavement Defect Detection System, which aims at improving the efficiency and accuracy of a road maintenance system. The framework uses Multi-Scale ...

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 ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

machine-learning, deep-learning, cnn, computer-vision, defect-detection, industrial-ai, tensorflow, keras, image-classification, casting-defects, huggingface-spaces ...

Sistema completo para identificar piezas metálicas BUENAS o MALAS a partir de un solo frame. La solución cubre desde la preparación del dataset hasta la entrega ...