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 ...

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 ...

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 ...

In the fast-changing digital world, cybersecurity threats create substantial risks for organizations globally. Proactive defense is vital to counter these challenges. Real-time vulnerability detection ...

Welcome to Real-time Object Detection! This project utilizes the power of machine learning to detect objects in real-time using SSD MobileNet V3. With this project, you can easily identify various ...

Abstract: Real-time-object-detection is object detection in authentic time with expeditious inference while maintaining a base level of precision. It is a cosmic, energetic yet uncertain and ...