Abstract: The performance of existing object detection algorithms significantly degrades when applied to low-resolution infrared (IR) images captured by unmanned aerial vehicles (UAVs), which suffers ...

Introduction: Underwater organism detection is critical for intelligent aquaculture and marine ecological monitoring, but real-time deployment on resource-constrained platforms remains challenging due ...

The Yolo County Community Services Department has announced the Cannabis Use Permit application process will reopen for new applicants beginning at the start of the new year, according to a press ...

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 ...

College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou, China Accurate and efficient detection of citrus leaf diseases is crucial for ...

The aim of this project is to create a real-time violence detection system using a custom-trained YOLO (You Only Look Once) model. This system is designed to analyze video feeds, identify potential ...

Abstract: Object detection and classification are crucial tasks across various application domains, particularly in the development of safe and reliable Advanced Driver Assistance Systems (ADAS).

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 ...