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 ...

Object recognition -- determining what objects are where in a digital image -- is a central research topic in computer vision. Researchers have now demonstrated that, en route to learning how to ...

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 ...

Vision is a powerful human sensory input. It enables complex tasks and processes we take for granted. With an increase in AoT™ (Autonomy of Things) in diverse applications ranging from transportation ...

Computer vision trains AI to interpret images, automating tasks like driving and product tracking. Applications include Amazon's "Just Walk Out" tech and autonomous vehicles' navigation systems. Uses ...