IoT-Enabled Smart Security Surveillance System for Farmland and Livestock Monitoring Using Computer Vision

Title

IoT-Enabled Smart Security Surveillance System for Farmland and Livestock Monitoring Using Computer Vision

Creator

Varghese, Nisha; Shereef, Shafi

Description

Agriculture is the main source of income of every country and agriculture plays a critical role in sustaining human civilization by providing food, fuel, and other essential resources. Even though, the conflict between farmers and wildlife remains a significant challenge even today. It is essential to arrange the protection of fields and farms by deterring wild animals and predators without making harm to the wildlife. This study proposes a framework that can detect and classify animals or intruders or any natural calamities. The novelty of the study is deterring the wild animals using innocuous devices and chemical components instead of the harmful electric fences and other methods. Based on the classification it will take preventive measures and will send an alert to the Farmer. The preventive measures are ensuring that will not make any harm to the wild animals. The framework incorporated four major components PIR (Passive Infrared) Sensor, Raspberry Pi Camera, Scarecrow and GSM (Global System for Mobile Communications) Module. PIR Sensor detects an object, Raspberry Pi Camera captures the images and images classify the specific object, later based on the type of the animal the scare tactics will be applied by the scarecrow and if any unusual incident is happening like the presence of an intruder, fire or tornado the alert will send to the Farmer with the help of a GSM Module. 2025 IEEE.

Source

2025 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2025;

Date

01-01-2025

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Computer Vision; GSM; IoT Scarecrow; Livestock Monitoring; PIR Sensor

Coverage

Varghese N., Christ University, Department of Computer Science, Bangalore, India; Shereef S., Jain University, Department of Cs & It, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833150236-2;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/CONECCT65861.2025.11306883

https://www.scopus.com/pages/publications/105032663995?origin=resultslist