A House hearing on unidentified aerial phenomena (UAPs) stunned lawmakers when video evidence showed a U.S. drone firing a Hellfire missile at an orb off Yemen—only for the object to remain intact and ...

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

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 ...

Abstract: Abstract-This study offers a novel approach that combines Google Text-to-Speech (GTTS) with YOLOv5 (You Only Look One) object identification to improve accessibility for those with visual ...

I am working on an overhead object detection project using images with a resolution of 1280x1024. The objects are generally small (e.g., cars and people). The inference will be performed on the DPU.

Tea leaf diseases are significant causes of reduced quality and yield in tea production. In the Yunnan region, where the climate is suitable for tea cultivation, tea leaf diseases are small, scattered ...