Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Accurate, efficient, and economical detection of Litchi pests and diseases is critical for sustainable orchard management, yet traditional manual methods often fall short in these aspects. To address ...

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 ...

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 ...

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...

Abstract: The general objective of this study is to propose the methodology to improve the real-time object detection through the YOLO-V7 algorithm. The YOLO-V7 model is optimized in ways such as data ...

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 ...

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 ...

NVIDIA Jetson Xavier, JetPack 4.4 CUDA 10.2, cuDNN 8.0.0, ROS Melodic Python 3.6.9, Tensorflow 2.3.1 딥러닝 학습 서버 노트북과 구동할 로봇의 개발환경 구축 알고리즘 자료 조사 사람과 마커를 Detection하는 YOLO 모델 만들기 처음 계획: Person ...