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.

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 ...

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 ...

Computer vision is trying to learn a really complex function, and it often feels like we don’t have enough data for computer vision even though data sets are getting bigger and bigger. Often we just ...

Given computer vision’s place as the cornerstone of an increasing number of applications from ADAS to medical diagnosis and robotics, it is critical that its weak points be mitigated, such as the ...

Computer vision is one of the most eminent forms of statistical Artificial Intelligence in use today. Comprised of varying facets of object detection, facial recognition, image classification, and ...

Computer vision can do more than reduce costs and improve quality. Here's how hardware, software, and AI innovations are saving lives and improving safety on and off the factory floor. The first ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--(Embedded Vision Summit, booth #518)-- Plainsight, the leader in automated infrastructure for data-centric AI pipelines, today announced the launch of OpenFilter, ...

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 to ...

Retailers must monitor everything happening in their store environments. They also need “to balance that customer experience with the loss of a sale and the theft of a product,” said Andy Szanger, ...