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DIVYADRISTI - A Real-time Hazard Detection System using Image Analysis

Published on May 2012 by Anil Kumar Pulipaka, Krishna Rao S. N, Shilpa B. V
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National Conference on Advancement of Technologies – Information Systems and Computer Networks
Foundation of Computer Science USA
ISCON - Number 1
May 2012
Authors: Anil Kumar Pulipaka, Krishna Rao S. N, Shilpa B. V
91e7e52b-1c0a-4baa-9c17-4198f3c60262

Anil Kumar Pulipaka, Krishna Rao S. N, Shilpa B. V . DIVYADRISTI - A Real-time Hazard Detection System using Image Analysis. National Conference on Advancement of Technologies – Information Systems and Computer Networks. ISCON, 1 (May 2012), 12-16.

@article{
author = { Anil Kumar Pulipaka, Krishna Rao S. N, Shilpa B. V },
title = { DIVYADRISTI - A Real-time Hazard Detection System using Image Analysis },
journal = { National Conference on Advancement of Technologies – Information Systems and Computer Networks },
issue_date = { May 2012 },
volume = { ISCON },
number = { 1 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 12-16 },
numpages = 5,
url = { /proceedings/iscon/number1/6457-1004/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancement of Technologies – Information Systems and Computer Networks
%A Anil Kumar Pulipaka
%A Krishna Rao S. N
%A Shilpa B. V
%T DIVYADRISTI - A Real-time Hazard Detection System using Image Analysis
%J National Conference on Advancement of Technologies – Information Systems and Computer Networks
%@ 0975-8887
%V ISCON
%N 1
%P 12-16
%D 2012
%I International Journal of Computer Applications
Abstract

Divyadristi, a Linux-based software solution is the first of its kind differs from existing hazard detection system with no significant sensor-based circuitry and alarm-based trigger. Divyadristi offers a reactive hazard detection mechanism, extremely sensitive to both manned and unmanned hazards in the area of surveillance and features a fast trigger mechanism that quickly reports the hazard through a text message informing the level of the hazard in the area of surveillance and a multimedia e-mail composed of images that depict the state of the room only to the authorized personnel. Divyadristi is optimally suited to places with static environments that are not prone to much movement; such environments include server rooms, storage rooms, lockers, radioactive material storage centres, and offices during non-working time and research centres.

References
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  6. Girish Singh Rajput, Zia-ur Rahman, Old Dominion University, Electrical and Computer Engineering Department, Norfolk, Virginia 23529, Hazard Detection on Runways using Image processing techniques: Proceedings of SPIE, the International Society for Optical Engineering, ETATS-UNIS 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Hazard Detection Image Analysis Motion Detection Image Processing Image Segmentation Message Alert