Researchers have demonstrated a computer system that can discover and identify the real-world objects it 'sees' based on the same method of visual learning that humans use.

Nearly 60 years later, the future of computer vision appears full of promise and the potential applications and outcome vast, with some even teetering on science fiction.

As computer vision systems have improved, mostly through machine vision progress, people’s views on pictures have changed a lot. In response to this change, the Dynamic AdaptNet project is making an ...

In a finding that could point the way toward better computer vision systems, researchers show why computers are so bad at seeing when one thing is not like another.

Bustling cities need the requisite transportation networks that can keep them running smoothly. AI and computer vision-powered smart transportation enables smart cities to achieve that objective ...

The book details how billions of years of evolution have equipped us with a complicated visual processing system, and how studying it has helped inspire better computer vision algorithms.

There are more than 2500 computer vision functions organised into a number of categories. OpenCV is platform neutral and aims to support pc based applications, as well as embedded systems. This means ...

This is a problem that the human vision system, powered by our vast knowledge of the world and billions of years of evolution, solves easily.

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.

Cogniac's Computer Vision AI solutions provide image and video analysis to address the rising demand for automation in a wide range of industrial operations. Cogniac's enterprise-grade Computer ...