Hostile Intent Enumeration using Soft Computing Techniques

TL;DR

This paper reviews existing methods for hostile intent detection using soft computing and proposes a new approach to improve accuracy and reliability in tactical scenarios.

Contribution

It introduces a novel solution that addresses limitations of current hostile intent enumeration techniques using soft computing methods.

Findings

Existing approaches have limitations in accuracy.

The proposed method aims to enhance detection reliability.

The paper discusses two prominent existing approaches.

Abstract

In any tactical scenario, the successful quantification and triangulation of potential hostile elements is instrumental to minimize any casualties which might be incurred. The most commonly deployed infrastructures to cater to this have mostly been surveillance systems which only extract some data pertaining to the targets of interest in the area of observation and convey the information to the human operators. Accordingly, with the ever increasing rate at which warfare tactics are evolving, there has been a growing need for smarter solutions to this problem of hostile intent enumeration. Recently, a number of developments have been made to ameliorate the efficacy and the certitude with which this task is performed. This paper discusses two of the most prominent approaches which address this problem and posits the outline of a novel solution which seeks to address the shortcomings faced by the existing approaches.