Users build a real-world computer vision application simply by describing their problem, without collecting data, labelling images, selecting models, or having previous machine learning experience.

Now in its fifth major version, OpenCV provides image and video analysis tools for OCR, object detection, facial recognition, ...

In 2015, the launch of YOLO — a high-performing computer vision model that could produce predictions for real-time object detection — started an avalanche of progress that sped up computer vision’s ...

Artificial intelligence is causing a stir in most industries, and construction is no different. Using smartphones or pole-mounted cameras, a computer application can acquire important information from ...

Abhinai Srvistava is CEO and co-founder of Mashgin, a touchless self-checkout system powered by AI and computer vision. Computer scientists have long dreamed of the possibilities of what artificial ...

Berkeley Design Technology, Inc., the technology industry’s trusted source of analysis, advice, and engineering for embedded processing technology and applications, has released a free quick-start kit ...

Imagine being able to embark on a real-time computer vision project in a few hours, with no code to build a traffic control system, a warehouse monitoring system, or an in-store point of sale ...