Translating the Language of the Wild
Advanced bioacoustic monitoring using ESP32-based Edge AI to track ecosystem health and food density through real-time avian communication analysis.
Device Status
ESP32 Monitoring Active
The Bioacoustic Pipeline
Our hardware translates raw acoustic waves into meaningful environmental data without cloud dependency.
Sound Capture
INMP441 high-precision I2S microphone captures 24-bit audio streams with 61dB SNR.
Edge AI Processing
On-device ML analysis using TensorFlow Lite for Microcontrollers to detect intensity and pitch shifts.
Ecosystem Insights
Real-time correlation of sound metrics to insect population density and food availability.
Deciphering Nature's Metrics
Our translator doesn't just record sound—it interprets ecological health markers through two primary audio dimensions.
Song Intensity (dB)
Decibel levels correlate directly with population density and competitive mating success.
Frequency Stability
Consistency in pitch signals lower stress levels and high resource (insect/seed) abundance.
monitoring Real-time Spectrum Analysis
Monitored Species
Current bioacoustic profiles loaded into Edge AI.
European Robin
Erithacus rubecula
Great Tit
Parus major
Common Blackbird
Turdus merula