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International Journal of Scientific Development and Research - IJSDR
(An International Open Access Journal)
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2455-2631


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Volume 6 | Issue 1

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Paper Title: AN APPROACH TO REDUCE ELEPHANT DEATH FROM TRAIN ACCIDENT
Authors Name: kanchana.V , Dr. M. Prabu
Unique Id: R
Published In: Volume Issue , March-2016
Abstract: Train Elephant Conflict (TEC) is one of the major issues across the world which affects both human and elephant. A recent research indicates many elephants and other animals die due to train accidents mostly at night time. Despite railway authorities instructing the drivers to reduce the train speed in forest areas, there has not been much reduction in elephant death from trains. The surveillance and tracking of elephants are difficult due to their size. The proposed system automatically detects the elephants with their sound that are diverse in the field. The input to the proposed system is the acoustic wave generated by the elephants. The acoustic wave receptors are placed on the path of the elephant. Raven pro 1.5 software is used to analyze the acoustic data and to improve signal enhancement, robustness to detect in noisy situations. Using MATLAB software the recorded acoustic waves are filtered to reduce the environmental noise recorded with actual sound of the elephant then the filtered sounds are tested for recorded spectrogram patterns stored previously in the system. On successful match of the sound of the elephants, SMS will be sent to the forest officials, station master and train operator. This paper helps to prevent the elephant death from train accidents.
Keywords: Train Elephant Conflict (TEC), Elephant, Sound, Acoustic sensor, MATLAB (MATrix LABoratory).
Cite Article: "AN APPROACH TO REDUCE ELEPHANT DEATH FROM TRAIN ACCIDENT", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol., Issue , page no., , Available :http://www.ijsdr.org/papers/R.pdf
Downloads: 00011740
Publication Details: Published Paper ID: R
Registration ID:160097
Published In: Volume Issue , March-2016
DOI (Digital Object Identifier):
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Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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