The collaboration delivers optimized hardware and software solutions for scalable and reliable AI computer vision at the edge.

A study from EPFL reveals why humans excel at recognizing objects from fragments while AI struggles, highlighting the ...

In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

In response, this paper addresses this gap by evaluating container technologies like RunC, LXC, Containerd, Docker, Podman, and Singularity in OpenCV-based computer vision applications on ARM-based ...

Object recognition and object identification are complex cognitive processes where information is integrated and processed by an extensive network of brain areas. However, although object recognition ...

Their map of computer-vision research reveals an intimate relationship between academic research and surveillance applications created for the military, the police and profit-driven corporations.

Computer-vision research involves developing algorithms to extract information from images and videos. It can be used to spot cancerous cells, classify animal species or in robot vision.

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