The Problem
Ecological monitoring produces more imagery than any team can review by hand: aerial surveys, camera traps, drone flights, satellite passes. The result is monitoring that happens less often than it should, and analysis that lags weeks behind the data it’s based on. Correlating any of it with environmental conditions — rainfall, vegetation, temperature — adds another manual step most programs don’t have time for.
Our Approach
- STEP 1
Detect
Species and individuals automatically in aerial and camera-trap imagery.
- STEP 2
Count
Populations consistently, removing manual survey variance.
- STEP 3
Correlate
Sightings with Earth Observation and weather data.
- STEP 4
Understand
Habitat use and behavior patterns over time.
- STEP 5
Predict
Habitat risk and population trends before they're visible in the field.
Reference Implementation
BioTrack AI is DronEye's reference implementation of this approach: multi-sensor detection, Earth Observation and weather data fusion, predictive analytics, a GIS dashboard, habitat-risk prediction and automated reporting — built and proven on real ecological monitoring data. Read the full BioTrack AI project →