An AI-Based 3D Bat Movement Tracking System at Wind Energy Facilities Using Multi-Thermal Video Cameras

Ryu, Sora (ORCID:0009000006913212)

doi:10.2172/2522758

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DOE OSTI · 2522758

An AI-Based 3D Bat Movement Tracking System at Wind Energy Facilities Using Multi-Thermal Video Cameras

Ryu, Sora (ORCID:0009000006913212)

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Abstract

The talk at the NAWEA Wind Tech 2024 conference discusses how to leverage the potential of real-time thermal-imaging methodologies in quantifying nocturnal bat activities at wind turbines, using 3D computer vision techniques within a deep learning framework. This innovation enables the automatic detection and classification of bats, birds, and insects in thermal-imaging videos captured at wind turbine sites, facilitating efficient and accurate data analysis for enhanced understanding and mitigation of bat-wind turbine interactions.

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AI machine learning MATHEMATICS AND COMPUTING,WIND ENERGY object detection object tracking stereo vision wind-wildlife interactions

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BibTeX RIS

Ryu, Sora (ORCID:0009000006913212). 2025-01-14. An AI-Based 3D Bat Movement Tracking System at Wind Energy Facilities Using Multi-Thermal Video Cameras. https://doi.org/10.2172/2522758

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