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) ...

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 ...

Abstract: Recently real-time detection, and recognition of an object of interest are becoming vital tasks in visual data processing and computer vision. Various models have been deployed to implement ...

Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of gravity. The discovery is an important step toward the observation of dark matter ...

A clean, modular, real-time object detection pipeline built on YOLOv5 + PyTorch + OpenCV. It shows FPS, counts detected objects per frame, renders boxes, and (optionally) saves the video. torch==2.7.1 ...

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 ...

The Litter Coach is an intelligent system developed to combat littering through real-time object detection. Utilizing the advanced YOLOv8 model, it accurately identifies and labels discarded waste ...

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 ...