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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
ISSN Online 2393-8021ISSN Print 2394-1588Since 2014
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← Back to VOLUME 11, ISSUE 8, AUGUST 2024

ANIMAL INTRUSION DETECTION AND ALERT SYSTEM

Rohan J S, Chandan M N

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Abstract: The Animal Intrusion Detection and Alert System addresses the critical need for effective monitoring of animal intrusions in designated areas, such as agricultural lands and wildlife reserves. Traditional methods often rely on basic motion detection systems, which can lead to false alarms and lack specificity in identifying the types of animals. Our proposed solution leverages advanced computer vision techniques, specifically the Haar cascade algorithm, to accurately detect animals using a Pi Camera and a Raspberry Pi microcontroller. The system processes the video feed in real-time, identifying animal intrusions and immediately notifying users through the Telegram Bot API. These notifications include animal name, providing users with timely information to take appropriate actions.

Keywords: Haar cascade algorithm, Telegram API, Detection, Recognition.

How to Cite:

[1] Rohan J S, Chandan M N, “ANIMAL INTRUSION DETECTION AND ALERT SYSTEM,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2024.11809

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