Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface content.

Machine vision systems are becoming increasingly common across multiple industries. Manufacturers use them to streamline quality control, self-driving vehicles implement them to navigate, and robots ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--OMNIVISION, a leading global developer of semiconductor solutions, including advanced digital imaging, analog, and touch & display technology, today announced ...

Advanced LED lighting arrays can spectrally tune their output wavelength to highlight different features and defects in captured images. The capability enables a single light fixture to quickly adapt ...

What are some of the key considerations when designing a vision system? What are the questions prospective customers should ask when appraising whether a vision application is feasible, or whether it ...

Manufacturing stands at a crossroads where traditional methods intersect with the promise of advanced technology. Machine vision, once a specialized field, is now central to transforming factory ...

Data is pretty much everything when it comes to training AI systems, but accessing enough data to produce quality products that live up to their promise is a major challenge, even for companies with ...

AI-powered vision systems are revolutionizing manufacturing quality control with lower costs, faster deployment and greater flexibility compared to traditional legacy machine vision systems. But ...