A high-performance, privacy-first web application for real-time object detection that runs entirely in your browser using WebGPU acceleration and ONNXRuntime-Web. No server required, no data leaves ...

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 ...

The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...

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 ...

Abstract: Abstract-This study offers a novel approach that combines Google Text-to-Speech (GTTS) with YOLOv5 (You Only Look One) object identification to improve accessibility for those with visual ...

The Litter Coach is an intelligent system developed to combat littering through real-time object detection. Utilizing the advanced YOLOv8 model, it accurately identifies and labels discarded waste ...

Abstract: Recently, mmWave radars have been used in several automotive and industrial applications to provide the position and speed of detected objects using FMCW algorithms. However, this radar is ...

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...

New Caledonian crows may find tool use fun, according to a new study. This is an Inside Science story. (Inside Science) -- Getting food is nice. But scoring that food through clever tool use is even ...