Identification of firearms by acoustic spectra of shots

Abstract

Abstract – The work is aimed at creating an artificial intelligence system for monitoring terrorist emergencies and automated identification of the use of various types of firearms in an urban area by the parameters and characteristics of acoustic spectra of shots. The authors propose a method for identifying acoustic spectra of shots by characteristic frequencies (extremes of amplitude-frequency characteristics) and comparing the energy of the spectrum. The paper presents an example of the application of the proposed method for the identification of shots from a 9 mm Makarov pistol, a Fort-14R traumatic pistol, and a 5.45 mm AK-74 rifle. The study of the spectral characteristics of firearms shots contributes to a broader understanding of the processes occurring during terrorist threats and will contribute to the further development of acoustic analysis methods for various purposes, including military, law enforcement, and civilian applications.