Object detection and recognition are an integral part of computer vision systems. In computer vision, the work begins with a breakdown of the scene into components that a computer can see and analyse.

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 ...

When searching for basketball videos online, a long list of Web sites appears, which may contain a picture or a word describing a basketball. But what if the computer could search inside videos for a ...

Selecting the right edge device for real-time AI-powered vision is a critical decision that can impact the performance, usability, and versatility of your applications. This comparison between the ...

If you unlocked your smartphone with a glance today, you’ve tapped into computer vision. Simply put, computer vision entails training computers to “recognize” objects visually—everything from human ...

Scientists have developed new technology, dubbed 'Knocker', which identifies objects and executes actions just by knocking on them with the smartphone. Software powered by machine learning of sounds, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Six members of Facebook AI Research (FAIR) tapped the popular Transformer ...

Meta has released a new artificial intelligence model that can pick out individual objects in images, presenting a big step forward in image recognition. The Segment Anything Model (SAM) can "cut out" ...