
Asian Journal of Engineering and Applied Technology (AJEAT)
Graphics in Combination Handguns Preparation Classification (Gaps)
Author : P.SenthilVolume 6 No.1 January-June 2017 pp 1-9
Abstract
The goal of the article is to present a novel Multimedia Firearms Training Classification. The system was developed in order to compensate for major problems of existing shooting training systems. Designed and implemented solution can be characterized by five major advantages: algorithm for automatic geometric calibration, algorithm of photometric recalibration, firearms hit point detection using thermal imaging camera, IR laser spot tracking algorithm for after action review analysis, implementation of ballistics equations. Combination of the abovementioned advantages in a single multimedia firearms training system creates a comprehensive solution for detecting and tracking of the target point usable for shooting training systems and improving intervention tactics of uniformed services. Introduced algorithms of geometric and photometric recalibration allows using of the economically viable commercially available projectors for systems that require long and intensive use without most of negative impacts on color mapping of existing multi-projector multimedia shooting range systems. The article presents the results of the developed algorithms and their application in real training systems.
Keywords
Firearms shot detection, Geometric recalibration, Photometric recalibration, IR tracking algorithm, Thermography, Ballistics.