GUN IDENTIFICATION USING IMAGE SYNCHRONIZATION FOR DTI’s VIRTUAL SHOOTING RANGE

Abstract

The DTI’s current virtual shooting range detect only one shooting gun. If there are many gun shots upon the same training scenario, the system cannot know what gun shoot belongs to what gun. The goal of this research project is to prove the concept of developing an algorithm to classify gun identification. The gun identification plays an important role in multiple weapon shootings of the virtual shooting simulator. The image synchronization technique was used to interface the shooting to a microcontroller module. A simulated model was experimented to represent a real system for convenience. The result showed that the adopted technique was reliable and at the same time the algorithm yielded correct and acceptable results. The idea can be applied to infrared laser point detection of more than one trainees being trained simultaneously.