Abstract: Traffic object detection based on computer vision (CV) can usually be deployed on the embedded computing platform of autonomous vehicles or autonomous aerial vehicles (AAVs), to provide ...

Abstract: With the rapid development of the Internet of Things (IoT) and edge computing technologies, achieving high-accuracy real-time object detection on resource-constrained embedded devices has ...

Written in Rust, the PyApp utility wraps up Python programs into self-contained click-to-run executables. It might be the easiest Python packager yet. Every developer knows how hard it is to ...

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 ...

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 ...

Small object detection is a critical task in applications like autonomous driving and ship black smoke detection. While Deformable DETR has advanced small object detection, it faces limitations due to ...

On his first day on the job Monday, Louisiana Department of Health Secretary Bruce Greenstein announced the launch of two initiatives – one to target Medicaid fraud and another to reduce the number of ...

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 ...

In recent years, underwater object detection (UOD) has become a prominent research area in the computer vision community. However, existing UOD approaches are still vulnerable to underwater ...