Drones That Fly Together
DTFT
METEKSAN Defense
Team & Mentors
Group Members
- Tuna Şahin
- Sıla Bulduk
- Çağan Herek
- Özgü Melek Özyörük
- Mısra Simge Uysal
- Çınar Kanbur
Academic Mentor
Asst. Prof. Melih Baştopçu
Teaching Assistant
Batuhan Uykulu
Company Mentors
- Rıdvan Soysal
Project Abstract
DTFT presents a real-time radio-frequency (RF) based drone detection and classification system developed for METEKSAN. The framework analyzes signals in the 2.4 GHz and 5.8 GHz ISM bands, combining FFT-based spectral detection with STFT spectrogram classification using a ResNet18 network. The system is implemented on a software-defined radio (SDR) with a GUI for live visualization. Experimental results show detection in under 0.3 seconds, classification in under 4 seconds, and classification accuracy exceeding 99%, surpassing the 95% target.
The Team
Our dedicated team.
Project Showcase
Project demonstration video.