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 ...

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 ...

Abstract: This study addresses the critical challenge of e-waste management by developing an automated classification system using YOLO-based object detection models. A custom-annotated dataset of ...

The broad range of Scolytinae pests sizes and their subtle visual similarities, especially in smaller species, continue to challenge the accuracy of mainstream object detection models. To address ...

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 ...

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...

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 ...

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 ...