AI-Powered Indian Myna Trap*

Indian Mynas adapt easily to urban environments, competing with native species and causing ecological, agricultural, and public health concerns. This project developed an AI-powered bird trap designed specifically to capture Indian Mynas while avoiding non-target species and maintaining self-sustainability through solar power. Integrating loT capabilities, the trap provides real-time updates to operators regarding its status, location, and security conditions, enhancing monitoring and operational control. Additionally, embedded AI technologies enhance detection accuracy, while loT capabilities provide real-time updates on the trap's status and location to operators. The system also includes security features to deter tampering, ensuring long-term reliability and effectiveness.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/iceet65156.2024.10913560
Primary Topic
Wildlife-Road Interactions and Conservation
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Indian Myna Trap*

Mohammed Ghazal, Mohammed Jama, Abdullah Al Ghazali, Hadeel AI-Rifa'i
Wildlife-Road Interactions and Conservation
article

AI-Powered Indian Myna Trap*

Mohammed Ghazal, Mohammed Jama, Abdullah Al Ghazali, Hadeel AI-Rifa'i
article en

Abstract

Indian Mynas adapt easily to urban environments, competing with native species and causing ecological, agricultural, and public health concerns. This project developed an AI-powered bird trap designed specifically to capture Indian Mynas while avoiding non-target species and maintaining self-sustainability through solar power. Integrating loT capabilities, the trap provides real-time updates to operators regarding its status, location, and security conditions, enhancing monitoring and operational control. Additionally, embedded AI technologies enhance detection accuracy, while loT capabilities provide real-time updates on the trap's status and location to operators. The system also includes security features to deter tampering, ensuring long-term reliability and effectiveness.

Abu Dhabi University (AE)
Openalex Percentile: Top 74%
Wildlife-Road Interactions and Conservation
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