Machine vision allows you to obtain useful information about physical objects by automating analysis of digital images of those objects. This is one of the most challenging applications of computer ...

One of the simplest ways to understand a machine vision system is to consider it the “eyes” of a machine. The system uses digital input that’s captured by a camera to determine action. Businesses use ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The process of identifying objects and understanding the world through ...

Machine vision and embedded vision systems both fulfill important roles in industry, especially in process control and automation. The difference between the two lies primarily in image processing ...

Donato Montanari is VP and GM, Machine Vision, for Zebra Technologies. Manufacturing stands at a crossroads where traditional ...

The challenge of finding a black spot on a black background—and how solving this will cause a paradigm shift. I remember my first interaction with machine vision. It was exciting, because I had this ...

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 ...

Over the past decades, computer scientists have developed increasingly sophisticated sensors and machine learning algorithms that allow computer systems to process and interpret images and videos.

is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Researchers from machine learning lab OpenAI have discovered that their state-of-the-art computer vision ...