Sound Detection and Alarm System of Unmanned Aerial Vehicle

Abstract

Unmanned aerial vehicles (UAVs) are widely applied in the civil domain. Meanwhile, the security issues concerning UAVs are emerging because the monitoring of small UAVs is difficult. In this paper, we designed a sound detection and alarm system for UAV monitoring. Firstly, the frequency domain feature extraction and Mel domain feature extraction are performed to obtain the features of UAV sound. The Mel frequency cepstral coefficient (MFCC) and support vector machine (SVM)-based sound detection method are designed. Besides, the real-time sound acquisition and detection are realized. The real test data has proved the efficiency of the designed UAV sound detection system. The advantages of the sound detection and alarm system in this paper are low cost and high accuracy, which may be widely applied in the area of UAV monitoring.