Even when we clean, because of laziness or lack of time, we often throw all waste into the same bin without separating ...

As adults, it is our duty to follow traffic rules, and the most important rule is to wear a helmet while riding a two-wheeler ...

Mainstream real-time object detectors, like the YOLO series, balance speed and accuracy but are bottlenecked by Non-Maximum Suppression (NMS) for post-processing. While end-to-end Transformer-based ...

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A powerful real-time flying object detection system using YOLOv8 that detects aircraft, drones, birds, helicopters, and other flying objects. Optimized to run on CPU and GPU with support for multiple ...

To address the challenges of detecting small objects in unmanned aerial vehicle (UAV) imagery, such as weak feature representation, complex background interference, and high real-time requirements, ...

YOLO (You Only Look Once) is one of the most influential algorithms in the field of computer vision, specifically designed for real-time object detection. Unlike traditional approaches that first ...

Abstract: Detection and tracking of objects is important in. applications in surveillance, sports are driven by computer vision. traffic monitoring, analytics and autonomous driving. Accurate ...

Abstract: Object detection and tracking are two critical tasks in computer vision, widely applied in security surveillance, autonomous vehicles, and behavioral analysis. Strong performance in object ...

Real-time object detection sounds complex, but with the right approach, you can build a production-ready system in weeks, not months. This step-by-step guide walks you through building a complete ...

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 ...