IRN AP14971907 “Development of a frequency-based reliable system for detecting suspicious drones using SDR and acoustic signatures”

The goal of the project is to develop a system that detects suspicious drones and operates in real time, based on the use of deep learning algorithms to represent drone frequencies obtained using SDR radio and acoustic sensors.

Relevance of the project: The main objective of the project proposal is to develop a reliable system for detecting suspicious drones, and develop and introduce it as a bimodal sensor for real-time use in protected areas or special buildings in the country. For the last 4 years, I have been conducting research on recognizing drones by the sound of their flight [8, 9, 10, 11, 12] on the advice of my foreign research supervisor. In studies, acoustic sensor testing was found to be more effective in identifying suspicious drones than other methods.

Project executor: Utebaeva D.Zh. and Eric Matson

Results obtained: project start - 2023

Implementation period: 2022-2024.