The Challenge
Manual counting of birds in breeding colonies is slow, labor-intensive, and error-prone. Traditional survey methods cannot keep pace with conservation needs.
- Time-consuming field surveys
- Limited coverage of large colonies
- Human error in species identification
- Disturbance to breeding birds
Our AI-Powered Solution
A two-stage AI system that revolutionizes how we monitor coastal bird populations.
- Detects individual birds in high-resolution drone imagery
- Classifies species with >85% accuracy
- Georeferenced outputs for precise mapping
- RESTful API for seamless integration
Target Species
AI-BIRD is optimized for detecting and classifying key coastal breeding species along the Dutch coast.
- Herring gull (Larus argentatus)
- Lesser black-backed gull (Larus fuscus)
- Black-headed gull (Chroicocephalus ridibundus)
- Common tern (Sterna hirundo)
- Arctic tern (Sterna paradisaea)
- Sandwich tern (Thalasseus sandvicensis)