Eco-Friendly Laser Deterrent System for Woodpeckers Utilizing YOLOv8

This research introduces a novel approach for deterring woodpeckers to safeguard wooden structures in an environmentally-friendly way. Woodpecker drilling and drumming poses a significant threat to wooden structures, causing extensive physical and financial damage. These issues range from property damage to noise, underscoring the urgent need for an effective deterrent method. Our study proposes a laser-based deterrent mechanism, designed to be eco-friendly by minimizing effects on other wildlife and humans. This environmentally conscious approach offers a humane solution to woodpecker control, ensuring compliance with the Migratory Bird Treaty Act (MBTA). Additionally, our approach utilizes deep learning technology to chase away specific targets. Our system integrates YOLOv8 for accurate and low-power identification, creating an efficient operating solution with independent internet connectivity. This enhancement enables the system to adapt across various environments. Testing in a controlled environment has verified the system's effectiveness in deterring woodpeckers in an eco-friendly way. This approach ensures minimal impact on other wildlife and humans, adhering to legal and environmental constraints.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/irc63610.2024.00047
Citations
1
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.21
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Eco-Friendly Laser Deterrent System for Woodpeckers Utilizing YOLOv8

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1 citations
Remote Sensing and LiDAR Applications
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article

Eco-Friendly Laser Deterrent System for Woodpeckers Utilizing YOLOv8

Hyojin Kim, W.S. Kim, Seung-Hun Han, Jaden Soroka, Justin Allange, Anthony Smith
article en
1 citations

Abstract

This research introduces a novel approach for deterring woodpeckers to safeguard wooden structures in an environmentally-friendly way. Woodpecker drilling and drumming poses a significant threat to wooden structures, causing extensive physical and financial damage. These issues range from property damage to noise, underscoring the urgent need for an effective deterrent method. Our study proposes a laser-based deterrent mechanism, designed to be eco-friendly by minimizing effects on other wildlife and humans. This environmentally conscious approach offers a humane solution to woodpecker control, ensuring compliance with the Migratory Bird Treaty Act (MBTA). Additionally, our approach utilizes deep learning technology to chase away specific targets. Our system integrates YOLOv8 for accurate and low-power identification, creating an efficient operating solution with independent internet connectivity. This enhancement enables the system to adapt across various environments. Testing in a controlled environment has verified the system's effectiveness in deterring woodpeckers in an eco-friendly way. This approach ensures minimal impact on other wildlife and humans, adhering to legal and environmental constraints.

Purdue University West Lafayette (US), Dong-A University (KR), Ajou University (KR)
Responsible consumption and production
Openalex Percentile: Top 47%
Remote Sensing and LiDAR Applications
0.21
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