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 ...

A cutting-edge machine vision algorithm, meanwhile, would probably only identify one or two of these objects. That’s a huge downgrade for systems that are supposed to drive our cars.

Different configurations of projection and imaging can automatically detect issues, such as material shear, wrinkles and bridging, and the laser projector automatically pinpoints areas of concern, ...

It turns out machine vision algorithms have an Achilles’ heel that allows them to be tricked by images modified in ways that would be trivial for a human to spot.

"Through continued development of our algorithms, we look forward to applying our IP to support evolving customer requirements for specialized small object threat detection technology at home and ...

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

Safe Pro Surpasses 1,000,000 Drone Images Analyzed Milestone Using Its Novel AI Algorithms & Machine Learning Models on AWS Cloud Advancing Small Object Threat Detection ...

The paper “VEViD: Vision Enhancement via Virtual diffraction and coherent Detection” utilizes a physics-based algorithm to correct for poor illumination and low contrast in images captured in ...