Date of Publication :5th April 2017
Abstract: Normally camera traps are the typically devices that are used in the filed for the study of wildlife species in deep and remote forests but here using the basic idea of camera trapping ,we are trying to reduce the damage or reduce the man animal conflict, that is coming up theses everywhere on a massive scale, that is we are using the principles of bioacoustics to reduce the problems or damages caused by wild animals to the farmers, hence considering this fact that since humans, day by day have encroached into the forest and thereby since there is a reduction in green cover which in turn reflects in the migration and transit pattern of animals thereby animals land up in human habitation . Hence we make use of high frequency and high intensity sound waves to drive away the animals that cause harm or loss, along with image processing so as to identify the particular animal and emit those particular frequencies which are most sensitive to that particular animal and hence there by cause a neurophysiological effect such that a particular animal will get affected and go away from the site where it is causing damage
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- EURASIPJournalonImageandVideoProcessing2013,201 3:52 RESEARCH OpenAccess Automated identification of animal species incamera trap images XiaoyuanYu1, 2, JiangpingWang2*, RolandKays3, 4, 5, PatrickAJansen3, 6, TianjiangWang1andThomasHuang2Linear Spatia lPyramid Matching Using Sparse Coding for Image Classification Jianchao Yang†, Kai Yu‡, Yihong Gong‡, Thomas Huang† †Beckman Institute, University of Illinois at Urbana-Champaign ‡NEC Laboratories America, Cupertino, CA 95014, USA