Abstract: The single object detection has been performed by using the concepts of convolution layers. A neural network consists of several different layers such as the input layer, at least one hidden ...

Step into the future of crowd analytics with our AI-powered face-counting system, designed for open gatherings where entry ...

This project implements real-time object detection using OpenCV and the MobileNet-SSD model. It can detect 20 different classes of objects including people, vehicles, animals, and common objects.

YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data ...

A research team has developed autonomous driving software that allows inexpensive sensors to detect transparent obstacles ...

Thanks to new single-shot technology, the goROBOT3D system, developed by researchers at the Fraunhofer Institute for Applied ...

Fraunhofer’s goROBOT3D slashes 3D scanning time for transparent and dark materials from 15 to 1.5 seconds using thermal ...

This is a potentially valuable modeling study on sequence generation in the hippocampus in a variety of behavioral contexts. While the scope of the model is ambitious, its presentation is incomplete ...