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.

Ellipse detection and fitting constitute essential components in the computer vision toolkit, enabling the precise localisation of elliptical shapes within images.

A method for vehicle damage detection by a computer vision system, comprising the steps of: generating a dataset, training a neural network with a plurality of images of the dataset to learn to ...

Computer vision explained. We break down how AI computer vision works, its rise, applications, bias, and challenges.

Improved Human, Object Detection Technology With New Computer Software Date: November 4, 2009 Source: University of Missouri-Columbia Summary: When searching for basketball videos online, a long ...

Computer scientists have combined sophisticated computer vision algorithms and a brain-computer interface to find mines in sonar images of the ocean floor. The study shows that the new method ...

A research team in China has developed a novel real-time shadow detection method for PV modules. It uses computer vision for the task, with techniques that enhance the information of the live feed ...

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 ...

Earlier this week Google announced its MobileNets family of lightweight computer vision models. These models can handle tasks like object detection, facial recognition and landmark recognition.