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