r cnn based wild animals conservation - IIP Series

Publication Type: Edited Book

R-CNN BASED WILD ANIMALS CONSERVATION

Book Name: Futuristic Trends in IOT V2B15
Authors: S.Sriram
Keywords: safe farming, strengthen farming, wild conservation, R-CNN farming
Area/Stream: / Computer Vision and Artificial Intelligence /
Published in: IIP Series
Volume: 2, Month:December,Year:2023
Page No.: 117-121
e-ISBN: 978-93-5747-350-7
DOI/Link: https://www.doi.org/10.58532/V2BS15P3CH1

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: S.Sriram,R-CNN BASED WILD ANIMALS CONSERVATION, In: Futuristic Trends in IOT V2B15, IIP Series, Volume 2, December, 2023, pp. 117-121, Iterative International Publishers IIP, E-ISBN: 978-93-5747-350-7, DOI/Link: https://www.doi.org/10.58532/V2BS15P3CH1

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