This project focuses on real-time object detection using pre-trained deep learning models with OpenCV. It demonstrates how to detect and classify objects in images or video streams using efficient and ...

Abstract: Accurate and fast detection of traffic signs is critical for autonomous driving, particularly in complex environments with diverse sign scales and varying detection distances. Existing ...

Researchers from the University of Arizona, working with an international team, have captured and controlled quantum uncertainty in real time using ultrafast pulses of light. Their discovery, ...

RALEIGH, N.C., Sept. 24, 2025 /PRNewswire/ -- Bandwidth Inc. (NASDAQ: BAND), a leading global enterprise cloud communications company, today announced support for OpenAI's latest release of its ...

This implementation is designed as a demo to test COCO trained YOLOv11 detection models. This project implements YOLOv11 object detection in C++ using OpenCV with CUDA backend. It supports real time ...

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 ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

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