Research Article
Intelligent Virtual Security System using Attention Mechanism
@ARTICLE{10.4108/eai.13-4-2018.154473, author={Wasim Ahmad Khan and Hafiz Usman Akmal and Ahmad Ullah and Aqdas Malik and Sagheer Abbas and Abdullah Ahmad and Abdullah Farooq }, title={Intelligent Virtual Security System using Attention Mechanism}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={5}, number={16}, publisher={EAI}, journal_a={SIS}, year={2018}, month={4}, keywords={Virtual Security, Artificial Intelligence, Computer Vision, Attention, Motion Detection, Blob Detection.}, doi={10.4108/eai.13-4-2018.154473} }
- Wasim Ahmad Khan
Hafiz Usman Akmal
Ahmad Ullah
Aqdas Malik
Sagheer Abbas
Abdullah Ahmad
Abdullah Farooq
Year: 2018
Intelligent Virtual Security System using Attention Mechanism
SIS
EAI
DOI: 10.4108/eai.13-4-2018.154473
Abstract
Within the past few years, organizational security has emerged as a critical challenge for industries, security agencies, academic institutions and organizations. The current security system lacks efficiency which influences organizations’ security parameters negatively. While dealing with a violent or terroristic activity human guards may not be able to response effectively under pressure, due to some limitation or lack of continuous attention. In present conditions where guards are not active enough to generate a quick response against threat, human eagerly need to design an effective virtual security system which would be responsible to analyze collective measures, process, and procedure that ensure protections of virtualization environment. In order to increase efficiency of security, eliminate security holes and to obtain quick response towards suspicious activities, there is need to replace humansecurity-guard with a virtual-security-guard system. This virtual guard will be an embedded machine, which will act like a complete security guard that will work under ‘Human Based Psychology’. This system would be reflection of an ideal virtual security guard which will generate intelligent and quick response towards abnormal activities by making intelligent decisions based on selective attention mechanism. The proposed system can be efficient enough to focus both functional and non-functional requirements (resistibility in smoke, fog, rain, dark and dust).
Copyright © 2018 Wasim Ahmad Khan et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.