Automated Wildlife Monitoring Using Deep Learning

7 Pages Posted: 6 Sep 2019

See all articles by Sreedevi C K

Sreedevi C K

Government College of Engineering Kannur

Saritha E

Government College of Engineering Kannur

Date Written: September 4, 2019

Abstract

In many real life applications animal detection based researches are very essential. Methods for animal detection are helpful to know about the moving behavioral of targeted animal and to prevent animal intrusion that result dangerous situations in forest border area. Human animal conflict create lot of negative impact for both human and wild animal. Injury and loss of life of humans and wildlife,damage to human property,crop damage,destruction of habitat are some of the main impact of these conflict. So there is a need of developing a system which detect any presence of interactions of wild animal in the border region and without causing any harmful effect to human being and wild animal the interference and the dangerous situations caused by the wild animal have to be minimized. This paper covers various perspective of the design of such systems, including image processing and artificial intelligence for animal detection, species classification,automatic identification of animal using CNN, design of alarm unit,design of mobile application and animal repellent circuit.

Suggested Citation

C K, Sreedevi and E, Saritha, Automated Wildlife Monitoring Using Deep Learning (September 4, 2019). In proceedings of the International Conference on Systems, Energy & Environment (ICSEE) 2019, GCE Kannur, Kerala, July 2019. Available at SSRN: https://ssrn.com/abstract=3447740 or http://dx.doi.org/10.2139/ssrn.3447740

Sreedevi C K (Contact Author)

Government College of Engineering Kannur ( email )

Kannur
India

Saritha E

Government College of Engineering Kannur ( email )

Kannur
India

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