Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model for UAV-based remote ...
Lawrence City Hall, 6 E. Sixth St., is pictured on Friday, Sept. 6, 2024. The City of Lawrence has launched a new affordable housing dashboard that displays real-time progress toward achieving the ...
The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...
Abstract: The accumulation of trash in aquatic and marine environments has severe and significant consequences on marine ecosystems, resulting in a persistent environmental hazard. While volunteer ...
The A230 Vortex offers AI-on-the-edge computing with near-real-time pattern of life analysis and actionable intelligence, enabling smarter decision-making and optimizing the Observe, Orient, Decide, ...
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 ...
Researchers have designed an intelligent household robot capable of autonomous navigation, object detection, and sorting. This robot, equipped with advanced technologies like depth cameras, YOLOv11 ...
Madi Frampton-Herrera and Favian Herrera Jr. during a recent rehearsal of their Herrera Dance Project's "Unanswered for 77: The Time Between." Judianne Frampton That’s a bad idea, Favian Herrera Jr.
TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...
REDLANDS, Calif.--(BUSINESS WIRE)--Esri, the global leader in location intelligence, has partnered with Dataminr, the leading real-time AI platform, to enhance real-time emergency response for public ...