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 ...

As machine vision systems improve via advances in chip technologies, easier to use software, and lower cost, IoT Analytics (a provider of market insights and business intelligence) took a look three ...

Machine learning (ML) and computer vision (CV) technologies are vital branches of artificial intelligence (AI) that help automate tasks and increase efficiency across industries. Experts predict that ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Machine vision uses artificial intelligence (AI) to develop ...

LINCOLNSHIRE, Ill.--(BUSINESS WIRE)-- Zebra Technologies Corporation (NASDAQ: ZBRA), a leading digital solution provider enabling businesses to intelligently connect data, assets, and people, today ...

Demos include PC-based and FS42 camera-based deep learning optical character recognition, deep learning anomaly detection on the newly launched Zebra NS42 camera (Credit: Zebra) Machine vision, edge ...

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 ...

With its ability to help automate quality control, guide flexible pick-and-place systems, and simplify inventory tracking procedures, machine vision is of growing importance to industrial automation ...

Forbes contributors publish independent expert analyses and insights. I cover supply chain management, technology, and manufacturing. A recent Miami news broadcast included a segment featuring ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...