As artificial intelligence (AI) rapidly grows—a recent UN Trade and Development report projects the global AI market soaring ...

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

The recent breakthroughs in computer vision have benefited from the availability of large representative datasets (e.g. ImageNet and COCO) for training. Yet, robotic vision poses unique challenges for ...

Neuromorphic vision sensing (NVS) devices represent visual information as sequences of asynchronous discrete events (a.k.a., “spikes”) in response to changes in scene reflectance. Unlike conventional ...

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

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

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

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

A better understanding of how the human brain represents objects that exist in nature, such as rocks, plants, animals, and so ...

In blinding bright light or pitch-black dark, our eyes can adjust to extreme lighting conditions within a few minutes. The human vision system, including the eyes, neurons, and brain, can also learn ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .