Overview OpenCV courses on Coursera provide hands-on, career-ready skills for real-world computer vision ...

Abstract: The most often adopted methodologies for contemporary machine learning techniques to execute a variety of responsibilities on embedded devices are mobile networks and multimodal neural ...

Learn easy and impressive magic tricks using everyday objects you already have at home. These simple step by step illusions are perfect for beginners and require no special props, yet they look ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

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) ...

This project is a Python-based application that performs real-time motion detection using OpenCV. It processes video streams from a webcam or an uploaded file, identifies moving "blobs," and logs ...

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 ...

Abstract: Object measurement in images is crucial in computer vision, with applications in industrial automation, quality control, and medical imaging. Traditional manual methods are inefficient and ...