Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.

Event-based sensing for machine vision in industrial automation delivers advantages in speed, power consumption, and data ...

Hong Kong startup ScoPix is pitching AI-powered night-vision binoculars that can identify and capture images of wildlife, ...

Everysight's Maverick AI Pro smart glasses are trying to take one of the Vision Pro's best features, but it ain't that simple ...

New device categories face a lot of hurdles when they’re starting out, but one of the most pressing obstacles is figuring out ...

Netflix Just Open-Sourced an AI tool that beats a billion-dollar startup's VFX product. ears have called Netflix's $20 ...

At Jensma Agro, camera-based sorting is no longer limited to the field. The Dutch seed potato grower recently installed two ...

The fields of manufacturing, logistics, and even restaurants are increasingly moving toward automation, with robots being employed for a wide range of tasks. One of the most critical applications of ...

Yes, we're working all weekend, but it's for a good reason: bringing you the deepest discounts on top-rated electronics ...

Researchers at University of Tsukuba have developed a noncontact vibration measurement method using an event camera, a sensing technology inspired by biological vision. By applying geometric analysis ...

ONDEX Automation ("ONDEX" or “The Company”) today announced the appointment of Joe Nolan as Division President, Vision & Robotics. In this role, Nolan will lead the strategic direction, operational ...