With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

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 ...

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 ...

China is concerned by President Donald Trump's proposal for a new U.S. missile defense system, called the Golden Dome, which is designed to protect against adversarial attacks on America. Golden Dome ...

This project implements a real-time object detection and tracking system using the YOLOv8 model (ONNX format) with OpenCV, NumPy, and ONNX Runtime. It includes object detection, tracking with Kalman ...

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...

Roboflow has launched RF-DETR, a real-time object detection model tailored for embedded systems, edge devices, and low-latency applications. Rather than competing in the race for scale among ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

Abstract: The most essential function for fully automated driving is object recognition, as the car has to avoid obstacles. However currently, applying the technology can be challenging as they cost a ...