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Deployed system2023 to presentWashington State Department of Transportation, ICOET, and The Wildlife Society

Automated Thermal Wildlife Monitoring

Synthetic thermal data and field-deployed computer vision for highway crossings

A two-stage vision pipeline built for Washington State Department of Transportation wildlife crossings uses synthetic thermal training data to detect and classify animals in field footage. It turns a large manual-review backlog into a scalable monitoring workflow.

  • Computer vision
  • Synthetic data
  • Wildlife monitoring

Outputs

Deployment

Automated processing for Washington State Department of Transportation thermal cameras

I-90 wildlife corridor, Washington

Built to process motion-triggered footage from wildlife overcrossings and reduce manual review.

Presentation

AI-Supported Rapid Wildlife Detection and Classification

International Conference on Ecology and Transportation, 2023

View presentation

Presentation

Automated Wildlife Monitoring on Wildlife Crossings

The Wildlife Society, Western Section, 2023

View abstract