International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

DIP Fencing Unit and Alert for Animal Entry Sound Deterring Using Raspberry pi

Author(s) Karthikeswaran D, Sanjay P, Karunakaran R, Vignesh S
Country India
Abstract Animal intrusion in agricultural fields and protected areas often causes severe damage to crops and property,
leading to economic losses. To mitigate this issue, the project proposes a DIP fencing unit integrated with a
sound deterrent system controlled by a Raspberry Pi. The system uses sensors such as infrared and ultrasonic
sensors to detect animal entry near the fence. Upon detection, the Raspberry Pi triggers an audible alert with
high-frequency or predator-like sounds to scare the animal away. Simultaneously, real-time alerts are sent via
SMS or email to notify farmers or security personnel.
The proposed system also incorporates Artificial Intelligence (AI) techniques for improved detection accuracy.
Convolutional Neural Networks (CNN) and Machine Learning (ML) models can be trained to recognize
specific animal movement patterns, reducing false positives. Deep Learning (DL) further enhances system
performance by enabling adaptive behavior based on environmental and historical data. This non-lethal,
humane solution minimizes human intervention and improves responsiveness over traditional fencing systems.
Designed to be energy-efficient and solar-powered, the unit is ideal for remote agricultural areas. It is scalable
and can be tailored for different environments and animal types. Field testing confirms the system's
effectiveness in deterring animal intrusion and protecting crops while maintaining low operational costs. This
innovative approach offers a smart, AI-enhanced method for sustainable agricultural security.
Keywords Raspberry Pi, Animal Detection, Sound Deterrent System, DIP Fencing Unit, Infrared Sensor, Ultrasonic Sensor, Real-time Alert, Crop Protection, Wildlife Intrusion, Non-lethal Deterrence, SMS Notification, Email Alert, Solar-powered System, Automated Fencing, Artificial Intelligence, Machine Learning, Deep Learning, Convolutional Neural Network.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-05-31
DOI https://doi.org/10.71097/IJSAT.v16.i2.5367
Short DOI https://doi.org/g9m29g

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