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 simple magic tricks using everyday objects you already have. These easy techniques are designed for beginners and focus on clear moves, natural handling, and strong visual effects that anyone ...

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 ...

Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...

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 ...