Research Article
A Literature Research Review on Animal Intrusion Detection and Repellent Systems
@INPROCEEDINGS{10.4108/eai.7-12-2021.2314718, author={Ashok Kumar L and Neelaveni R and Sweety Jose P and Archana N and Saravanakumar S}, title={A Literature Research Review on Animal Intrusion Detection and Repellent Systems}, proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India}, publisher={EAI}, proceedings_a={ICCAP}, year={2021}, month={12}, keywords={convolutional neural network image processing neural networks microcontrollers sensors networks database iot}, doi={10.4108/eai.7-12-2021.2314718} }- Ashok Kumar L
Neelaveni R
Sweety Jose P
Archana N
Saravanakumar S
Year: 2021
A Literature Research Review on Animal Intrusion Detection and Repellent Systems
ICCAP
EAI
DOI: 10.4108/eai.7-12-2021.2314718
Abstract
Conflicts between humans and animals have become a big issue in agriculture and the forest zone, putting human lives in jeopardy and causing a huge loss of resources. A wireless sensor-based animal intrusion warning system can overcome these issues, delivering an automatic alert note to the owner and forest authority. The Sensor will detect the animal's movement, and the camera will capture the image. The captured image will be classified using image processing techniques. The Global System for Mobile communications module will send an alarm notification SMS to the forest department or the owner. As a result, the immediate alert information takes corrective decision depending on the type of incursion. This research is being used to learn about the many imaging methods, sensor technologies, and research sets that can be utilized to prevent humans and animals from conflict.
