Edge-AI Bird & Wildlife Species Audio Recognizer with Solar Enclosure
Outdoor acoustic bio-monitoring station running MobileNet on audio spectrograms to catalog endangered species bird calls 24/7.
Project Overview
An autonomous, waterproof solar listening unit placed in forests. Continuously records ambient audio, converts sound waves into Mel-spectrograms on a Raspberry Pi Zero, and executes an on-device neural network classifying 500+ bird and bat calls with GPS timestamps.
An autonomous, waterproof solar listening unit placed in forests. Continuously records ambient audio, converts sound waves into Mel-spectrograms on a Raspberry Pi Zero, and executes an on-device neural network classifying 500+ bird and bat calls with GPS timestamps.
Outdoor acoustic bio-monitoring station running MobileNet on audio spectrograms to catalog endangered species bird calls 24/7.
Core Project Objectives
Capture continuous analog/digital sensor readings with robust noise filtering and hardware calibration.