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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 13 | Issue 12 | Month- December 2025
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Published Paper Details:
Paper Title
Enhancing Security With Real-Time Animal Intruder Detection: A Deep Learning Approach For Automated Alerts And Notifications
Authors
Vaisaly M, Reshma S, Nivedha P M, Yasmin T A, Muhsina Sultana M Y
Keywords
Animal Intruder Detection, Real-Time Monitoring, YOLOv8, Deep Learning, Automated Alerts, Wildlife Security, Email Notifications
Abstract
The rising challenge of animal intrusions into agricultural fields, wildlife sanctuaries, and private properties demands efficient and automated security solutions. This project presents an intelligent animal intruder detection system using the YOLOv8 deep learning model to detect and classify animals in real-time. Upon detection, the system triggers automated alerts, including sound alarms and email notifications with
captured images and classified animal names. This reduces dependency on manual surveillance, minimizes false alarms, and enhances security measures through proactive monitoring. Our work aims to provide a scalable, accurate, and reliable solution for continuous security and conservation efforts.
IJCRT's Publication Details
Unique Identification Number - IJCRT2505038
Paper ID - 284612
Page Number(s) - a300-a303
Pubished in - Volume 13 | Issue 5 | May 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Vaisaly M, Reshma S, Nivedha P M, Yasmin T A, Muhsina Sultana M Y, "Enhancing Security With Real-Time Animal Intruder Detection: A Deep Learning Approach For Automated Alerts And Notifications", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 5, pp.a300-a303, May 2025, Available at :http://www.ijcrt.org/papers/IJCRT2505038.pdf
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Volume 13 | Issue 12
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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