DESIGN OF A SECURITY CONCEPT UTILIZING BVLOS FLIGHTS AND YOLO-BASED OBJECT DETECTION

  • 1Dept. of Electrical Engineering and Mechatronics, Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Kosice, SK

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.

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