Abstract: Artificial intelligence and deep learning-based object detection techniques have enabled the development of autonomous driving systems that have advanced at a very high pace. Safety and ...

Overview: Seven carefully selected OpenCV books guide beginners from basics to advanced concepts, combining theory, coding ...

Abstract: The rapid growth of computer vision and deep learning has revolutionized the field of image analysis, enabling machines to understand, interpret, and generate visual data with remarkable ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

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 ...

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 ...

🖼️ Object detection on images using YOLOv4 and YOLOv4-Tiny with OpenCV DNN. This project demonstrates how to detect multiple objects in static images with bounding boxes and class labels. It supports ...

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 ...