Build an AI swarm drone with Python, Crazyflie 2.1, Whisper voice control, and object detection for manual, autonomous flight ...

A global team led by Michal Holčapek, professor of analytical chemistry at the Faculty of Chemical Technology, UPCE, Pardubice (Czech Republic), and Jakub Idkowiak, a research associate from KU Leuven ...

Spiking Neural Networks (SNNs), inspired by neuroscience principles, have gained attention for their energy efficiency. However, directly trained SNNs lag behind Artificial Neural Networks (ANNs) in ...

Abstract: Object detection is the method of recognizing and finding objects in digital images and video frames. Over the years, object detection techniques have made significant advances driven by ...

Abstract: Object detection underwater is one of the most important tasks in various applications: marine biology, environ- mental monitoring, and underwater exploration. In this paper, we discuss a ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...

This project implements a robust YOLOv8 object detection model for identifying critical objects in space station environments using synthetic data from Duality AI's Falcon digital twin platform. The ...

This project uses YOLOv8 for real-time vehicle detection, classifying traffic on custom datasets. It processes image and video inputs, providing metrics like vehicle counts and traffic density. The ...