@misc{06c751c70a684996841d08b52d8183f1,
title = "An AI-Based 3D Bat Movement Tracking System at Wind Energy Facilities Using Multi-Thermal Video Cameras",
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.",
keywords = "AI, machine learning, object detection, object tracking, stereo vision, wind-wildlife interactions",
author = "Sora Ryu",
year = "2024",
language = "American English",
series = "Presented at the North American Wind Energy Academy (NAWEA)/WindTech 2024 Conference, 30 October - 1 November 2024, New Brunswick, New Jersey",
type = "Other",
}