Working in conjunction with a Backeye camera monitor system and up to two Backsense Network radar detection systems (one supplied with the on-screen display module kit), the on-screen display ...

More recent models such as YOLO (You Only Look Once) use single-shot detection to provide near real-time object detection. But their memory requirements are still large.

Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

AI that uses sketches to detect objects within an image could boost tumor detection, and search for rare bird species Date: June 21, 2023 Source: University of Surrey Summary: Teaching machine ...

The new approach could also enable accurate distance measurements through fog, which has proven to be a major obstacle to the development of self-driving cars. At a range of 2 meters, existing time-of ...