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 ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...

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 ...

A research group at Disney Research Pittsburgh has developed a computer vision system that, much like humans, can continuously improve its ability to recognize objects by picking up hints while ...

At the Google Cloud Next conference, Google introduced a new computer vision platform, Vertex AI Vision, that simplifies the process of building analytics based on live camera streams and videos.

According to computer science literature, Artificial Intelligence is defined as a technique that can mimic the behavior of the human brain. In recent years, we have seen more and more industry 4.0 ...