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R-CNN Based Wild Animals Conservation

Publication Type : Book Chapter

Publisher : IIP Series

Source : Futuristic Trends in IOT, Volume 2, Book 15, Part 3, Chapter 1, IIP Proceedings, Page no.117-121, 2023. DOI : https://www.doi.org/10.58532/V2BS15P3CH1

Url : https://www.iipseries.org/viewpaper.php?pid=457&pt=r-cnn-based-wild-animals-conservation

Campus : Coimbatore

School : School of Computing

Year : 2023

Abstract : The main aim of our project is to protect wild animal conservation from electric shock caused in electric fence as well as strengthen the crop protection. RCNN is a type of machine learning model used in computer vision tasks .system is designed used to detect the wild animals in real time basis and raising warning before hitting the electric fence. In this project we use solar infrared motion sensor to function the raising alarm with different sound system. Wild animals disturb near the fencing will get diverted on hearing the sound with flicker flame effect to protect the animals during night time

Cite this Research Publication : S. Sriram, "R-CNN Based Wild Animals Conservation," Futuristic Trends in IOT, Volume 2, Book 15, Part 3, Chapter 1, IIP Proceedings, Page no.117-121, 2023. DOI : https://www.doi.org/10.58532/V2BS15P3CH1

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