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

Research output: NRELPresentation

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.
Original languageAmerican English
Number of pages19
StatePublished - 2024

Publication series

NamePresented at the North American Wind Energy Academy (NAWEA)/WindTech 2024 Conference, 30 October - 1 November 2024, New Brunswick, New Jersey

NREL Publication Number

  • NREL/PR-5000-92405

Keywords

  • AI
  • machine learning
  • object detection
  • object tracking
  • stereo vision
  • wind-wildlife interactions

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