Foundational Concepts in Programming Industrial Robots. Before you can get a robot to do anything useful, you need to ...

Abstract: Real-time object detection in cloud-edge collaborative systems encounters challenges in balancing bandwidth constraints with task-specific requirements. Existing video encoding methods, such ...

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...

New real-time detection engine, cloud Indicators of Attack, and automated response actions give SOC teams real-time protection at machine speed “Real-time security is the difference between stopping a ...

Visualization examples of YOLOv10-N/S, YOLO11-N/S, YOLOv12-N/S, and YOLOv13-N/S. Representative visualization examples of adaptive hyperedges. The hyperedges in the first and second columns mainly ...

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Accurate, efficient, and economical detection of Litchi pests and diseases is critical for sustainable orchard management, yet traditional manual methods often fall short in these aspects. To address ...

Astronomers have found signs that the small icy world Chiron, orbiting between Saturn and Uranus, may be forming a new ring system in near-real time. When you purchase through links on our site, we ...

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 ...

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 ...