One of the most widely used, yet seldom-publicized applications of AI is machine vision. Read on to see how this technology works. ... and resolution is the quality of object recognition.

More specifically, the convergence of Object Recognition, Machine Vision, and Neural Networks enables machines to see and understand what it is they are seeing. ...

James Vincent is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. It’s a good time to be a machine learning startup. Two weeks after Twitter bought London ...

The gap between AI and human ability is, perhaps, greater for machine vision algorithms than some other areas like voice recognition. The algorithms succeed when they are asked to recognize ...

Machines now outperform humans in face recognition and object recognition and are in the process of revolutionizing numerous vision-based tasks such as driving, security monitoring, and so on ...

Advanced robotic vision systems are redefining the capabilities of automation in performing precision tasks. By equipping robots with the ability to perceive and adapt to their environments, these ...

Machine vision is another key technology, and today AI and machine vision interact in a few ways. “First, machine vision output is fed to an AI engine to perform functions such as people counting, ...

Why Machine Vision Is Flawed in the Same Way as Human Vision Humans and machines both use neural networks for object and face recognition. Now evidence is emerging that both types of vision are ...

In a task measuring haptic object recognition ability, participants touch pairs of 3D-printed objects without looking at them and decide if they are exactly the same. Isabel Gauthier Moving from ...