Deep Learning and Internet of Things based Animal Intrusion Prevention System

Deep Learning and Internet of Things based Animal Intrusion Prevention System

Mandhara B G#1, Chandrala P Deshpande#2, Megha Arun Talekar#3, Deepthi B S#4

Dept. of Computer Science Engg, SCE,

Bangalore-560057, India

Under the Guidance of: Dr. Kamalakshi Naganna, Professor & Head, Dept. of Computer Science Engg, SCE Bangalore-560057, India

Abstract: One of the serious problem faced by the farmers all over world especially for the farmers cultivating in the forest regions and in remote areas are unintimated attacks of the animals into the farmland which leads to the destruction of the crops and plantation and overall leads to the loss of production. Sometimes it may also lead to human- animal conflict which is highly dangerous and may harm the lives of either humans or animals. With the latest developments of technologies in Artificial Intelligence and Machine Learning, developing the intelligent model using Neural networks to identity the animals entering the farmland more accurately and then sending some control signals to the microcontroller to produce the loud irritating sound according to the animal identified thereby intruding the animals away from the farmland without the human intervention.

Keywords – Deep Learning, Convolutional Neural Network, Image Processing, Internet of Things, Embedded Software.