Design of a Security Concept Utilizing Bvlos Flights and Yolo-based Object Detection
Year: 2025
Type: article
Abstract: Recent shifts in Europe's security landscape driven by evolving hybrid warfare tactics require innovative solutions for real-time threat detection. This paper presents a security concept leveraging Beyond Visual Line Of Sight (BVLOS) drone flights combined with state-of-the-art YOLO-based object detection to enhance surveillance capabilities. By integrating advanced drone technology with AI-driven video analysis, the proposed system aims to detect armed individuals and mitigate potential hybrid attacks in critical infrastructure areas. A specialized dataset is prepared to improve detection accuracy and response times, ensuring cost-effective, autonomous monitoring in high-risk scenarios. This approach offers a robust solution for proactive perimeter security, optimizing resource allocation and reinforcing safety measures in an increasingly volatile environment. The results indicate substantial promise for future security implementations.
Source: MM Science Journal
Authors: JAN BACIK, LADISLAV HRIC, DANIELA PERDUKOVA
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410718836