Lattice Semiconductor announced the latest release of the Lattice sensAI solution stack, delivering expanded model support, ...
Hosted on MSN
Image-based model enhances the detection of surface defects in low-light industrial settings
In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and safety. However, conventional methods rely on heavy computational ...
System reliability and safety are paramount across industries such as semiconductors, energy, automotive, and steel, where even microscopic cracks or defects within structures can critically affect ...
TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...
"The era of error-prone quality control is over," said Keven, CEO of UnitX. "With FleX, we achieve optimal accuracy with the easiest deployment tools--minimize downtime, enable scalable deployment, ...
AI assistance reduced interpretation time by 48 seconds per examination while increasing clinician confidence scores.
Commentary: If we want to believe our eyes online, we need an easy, universal way to tell if something is real or not. Jon covers artificial intelligence. He previously led CNET's home energy and ...
Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback