For example, an object detection neural network may have the following layers: input layer (contains a still image of a scene), hidden layers (detect moving object, detect object parts, classify ...

Object detection is a useful adjunct improvement to image classification as it can, for example, identify a person and a dog in the same image, rather than just classify an image of a dog as a dog, as ...

Tailored flexible illusion coatings hide objects from detection Date: October 13, 2014 Source: Penn State Summary: Developing the cloak of invisibility would be wonderful, but sometimes simply ...

Arlo's new camera AI effectively recognizes specific objects like left-out toys Arlo's Custom Detection homepage is where you go to set up object or scenario recognition. Tyler Lacoma/CNET ...

Teaching machine learning tools to detect specific objects in a specific image and discount others is a “game-changer” that could lead to advancements in cancer detection, according to leading ...

Sponsored by: Texas Instruments. With the rise in automotive automation, more systems are leveraging DSP-enriched radar and ultrasonic sensing to handle long- and short-range ...