DocumentCode :
2409932
Title :
Identification of explosives and disaster prevention using intelligent robots
Author :
Prabakaran, S. ; Rosy, S. Sharon ; Grace, S. Shakena
Author_Institution :
Hindustan Univ. Chennai, Chennai, India
fYear :
2010
fDate :
3-5 Dec. 2010
Firstpage :
209
Lastpage :
212
Abstract :
In the present scenario, it is very much inevitable to protect the human force with high level of intelligent gadgets that could ensure peace and harmony from fatal and collateral damages happening day-to-day. This paper attempts to ensure one such measure towards reinforcing peace and security through smart and intelligent technologies. The main objective of this initiative is to avoid the human loss of life and also other collateral damages caused by explosions. Here, Explosion is referred as bomb explosion. The secured locations are interconnected in an Artificial Neural Network (ANN) with special sensors so that every single movement is observed and classified. The result of this will lead to trigger subsequent alarming signals to contact the control room and deploy intelligent robots to diffuse or confiscate the explosive materials from the carriers. This idea may be possible for implementation with technical feasibilities and availability of the devices which need to be conformed to the expected standards.
Keywords :
disasters; explosion protection; explosives; hazardous materials; intelligent robots; intelligent sensors; neural nets; artificial neural network; bomb explosion; collateral damage; disaster prevention; explosive material; intelligent gadgets; intelligent robot; smart sensor; Artificial neural networks; Explosives; Global Positioning System; Materials; Robot sensing systems; ANN; Bomb; GPS; ID3; Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Robotics and Communication Technologies (INTERACT), 2010 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-9004-2
Type :
conf
DOI :
10.1109/INTERACT.2010.5706228
Filename :
5706228
Link To Document :
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