Το work with title Μη Επανδρωμένο Αεροσκάφος (Μ.Ε.Α.) με Δυνατότητα Αναγνώρισης Στόχων για Χρήση από τις Ένοπλες Δυνάμεις by Messinis-Filippas Marios is licensed under Creative Commons Attribution 4.0 International
Bibliographic Citation
Marios Messinis - Filippas, "Unmanned Aerial Vehicle (UAV) with Target Recognition Capabilities for Use by the Armed Forces", Master Thesis, School of Production Engineering and Management, Technical University of Crete, Hellenic Army Academy, Chania, Greece, 2025
https://doi.org/10.26233/heallink.tuc.104696
This master thesis focuses on designing an Unmanned Aerial Vehicle (UAV) to support ground military forces. The objective is the early detection of thermal signatures of armored battle tanks using a machine learning algorithm and the timely notification of military units. The study is divided into two main parts. The first part addresses wireless communications, analyzing UAV communication networks and VHF radio stations, with an emphasis on frequency hopping techniques. The second part focuses on thermal signature recognition, covering computer vision principles, the training of the YOLOv10 algorithm, and the evaluation of results. The thesis concludes with a summary of findings and suggestions for future research.