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… ...

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

A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role in the AI ecosytem due to its ability to analyze and understand visual data. The need to decipher ...

Object-detection performance is impacted by these configurations, but performance gains continue to be made with more efficient neural networks and new node generation vision-processor hardware ...

Convolutional Neural Network With INT4 Optimization. ... On a 2D detection task in an ADAS system, the implementation achieves an inference speed of 230fps on a Zynq UltraScale+ MPSoC ZCU102 board, ...

Convolutional Neural Networks (CNN) are mainly used for image recognition. The fact that the input is assumed to be an image enables an architecture to be created such that certain properties can be ...

To identify objects, the researchers designed a convolutional neural network (CNN), which is usually used to classify images, to associate specific pressure patterns with specific objects.

Take, for example, image recognition, which relies on a particular type of neural network known as the convolutional neural network (CNN) — so called because it uses a mathematical process known ...