The semiconductor industry is evolving with quantum imaging and AI-driven technologies, enhancing defect detection and ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

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

Fintech operates under constant regulatory pressure. At the same time, competitive pressure demands speed, innovation, and intelligent automation. Risk and compliance systems sit at the...Read More ...

Artificial intelligence is transforming the robotics field at a rapid pace, according to the International Federation of Robotics or IFR.

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: 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 ...

Defect Identification Challenge to find an efficient and exact process for error detection in the production line using Computer Vision, Deep Learning or Classical ...

A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection" The author submitted the paper to Journal of Intelligent ...

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, ...