This framework can also be used to calibrate object detection models. It has recently been shown that calibration on object detection also depends on the position and/or scale of a predicted object ...

Let’s walk through some key considerations when it comes to implementing computer vision in the retail environment.

Human-surveillance technologies have advanced in the past few years with the rapid development of artificial intelligence (AI ...

Researchers at the University of Massachusetts Amherst have pushed forward the development of computer vision with new, ...

The output of computer-vision research is overwhelmingly aimed towards monitoring humans. The potential ethical implications ...

What we tried, what didn't work and how a combination of approaches eventually helped us build a reliable computer vision ...

In blinding bright light or pitch-black dark, our eyes can adjust to extreme lighting conditions within a few minutes. The ...

For people who are blind or have low vision, the audio descriptions of action in movies and TV shows are essential to ...

Scientists have long known that the brain's visual system isn't fully hardwired from the start—it becomes refined by what ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

With a computer vision platform, visual inspections can happen faster and with greater reliability than if done manually. For one thing, an AI system won’t lose focus, as humans sometimes do.