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
Built to process motion-triggered footage from wildlife overcrossings and reduce manual review.
Presentation
AI-Supported Rapid Wildlife Detection and Classification
View presentationPresentation