Abstract: This paper presents an enhanced approach to real-time object detection, addressing challenges such as movement dynamics and environmental variability. The proposed method employs transfer ...

Abstract: Underwater object detection using SONAR images is critical for marine conservation, environmental monitoring, waste management, and rescue operations. In this study, the authors apply ...

AeroDetect is a real-time object detection project that identifies drones, helicopters, and airplanes in images and videos using a custom-trained YOLOv11n model. The project includes a web interface ...

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 ...

Spending hours manually creating address objects on your Palo Alto Networks firewall? There’s a smarter, faster way! This guide will show you how to leverage the Pan-OS REST API and Python to automate ...

Tired of manually creating address objects one by one in your Palo Alto Networks firewall? There’s a better way! This comprehensive guide will show you how to leverage the power of the Pan-OS Python ...

I am working on an overhead object detection project using images with a resolution of 1280x1024. The objects are generally small (e.g., cars and people). The inference will be performed on the DPU.

abstract. Each day, the news brings stories of military attacks on schools, hospitals, apartment buildings, electrical facilities, and other critical civilian infrastructure. The militaries attacking ...