Current Volume 9
AI-Integrated Video Analytics for Real-Time Animal Grazing Detection and Buzzer Alert Activation
Abstract
Agriculture is one of the most essential sectors contributing to the economic growth of a country, and protecting crops from external threats is crucial for ensuring productivity and sustainability. One of the major challenges faced by farmers is the intrusion of animals into agricultural land, which leads to significant crop damage and financial loss. Traditional methods such as fencing, manual monitoring, and basic intrusion detection systems are not efficient and require continuous human effort. This paper proposes an AI-integrated video analytics system for real-time animal grazing detection and alert activation. The system utilizes CCTV cameras to continuously monitor agricultural fields and capture live video streams. The captured video is processed using image preprocessing techniques, including noise removal, resizing, and enhancement, to improve the quality of frames. A Convolutional Neural Network (CNN) model is used to analyze the processed frames and accurately classify objects as animals or non-animals. Once an animal is detected, the system activates an automated alert mechanism consisting of a buzzer and cracker-based deterrent to scare animals away safely. Additionally, notifications can be sent to farmers for immediate awareness. The proposed system provides real-time monitoring, reduces manual effort, improves detection accuracy, and ensures efficient crop protection. This solution is cost-effective, scalable, and suitable for smart agriculture applications.
Keywords
Animal Detection, CNN, Video Analytics, Smart Agriculture, Image Processing, Real-Time Monitoring, Alert System
Citations
IRE Journals:
Senthilraja E, Baskar S, Dhatchinamoorthy S, Haridharan D "AI-Integrated Video Analytics for Real-Time Animal Grazing Detection and Buzzer Alert Activation" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 180-190 https://doi.org/10.64388/IREV9I11-1717253
IEEE:
Senthilraja E, Baskar S, Dhatchinamoorthy S, Haridharan D
"AI-Integrated Video Analytics for Real-Time Animal Grazing Detection and Buzzer Alert Activation" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1717253
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
Important Links
For Authors
Volume 8:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 7:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 6:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 5:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 4:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 3:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12