Reliable AI for Predator Identification - Sandra Gómez-Gálvez

Year
2024
Organisation
University of Auckland
Tags
conservation technology
Predator Free 2050
New Zealand wildlife
kiwi bird
invasive species
biosecurity
artificial intelligence
neural networks
AI reliability
uncertainty estimation
model calibration
computer vision
thermal imaging
drone technology
ecological monitoring
Auckland
Summary

This research develops reliable AI-powered drone systems to support New Zealand’s Predator Free 2050 initiative. By improving neural network calibration, uncertainty estimation, and robustness in challenging real-world conditions, the project aims to accurately detect invasive predators and better protect endangered native bird species.