Abstract: Accurate and efficient small object detection using multimodal remote sensing images on resource-constrained aerial platforms is a challenging task. Most existing solutions rely on complex ...

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 ...

Rental truck company Penske denied any awareness of the Department of Homeland Security's use of their vehicles for an immigration raid in Los Angeles after footage of Immigration and Customs ...

The ripeness level of bananas is a key factor for both producers and consumers, affecting the entire logistics chain of the fruit and its final price. Artificial intelligence techniques can be applied ...

Early and accurate diagnosis of pneumonia is crucial to improve cure rates and reduce mortality. Traditional chest X-ray analysis relies on physician experience, which can lead to subjectivity and ...

The early diagnosis and accurate classification of lung cancer have a critical impact on clinical treatment and patient survival. The rise of artificial intelligence technology has led to ...

This project is a real-time anomaly detection system that uses the YOLO (You Only Look Once) object detection model to learn normal patterns of movement in a video stream and then identify deviations ...

Abstract: The most essential function for fully automated driving is object recognition, as the car has to avoid obstacles. However currently, applying the technology can be challenging as they cost a ...

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 ...