AvocAudio Board

The AvocAudio Board is a compact, solar-powered TinyML board for efficient audio data collection in machine learning applications. With edge computing for detecting the kind of audio present, long-range connectivity for keeping track of how much data is collected, and flexible storage, it's ideal for intelligent mass audio collection.

This was an effort by the tinyML Kenya Community to build an in-house data collection tool. More information will be available once published.

Key Features:

1. Edge AI & Storage

RP2040 microcontroller for low-latency TinyML processing.
W25Q128JVSIQ flash memory for fast data access.

2. LoRaWAN Connectivity

LoRa-E5 transceiver for low-power, long-range wireless communication.
Suitable for remote sensing, smart cities, and industrial IoT.

3. Audio & Sensor Integration

SPH0645LM4H-B microphone for high-fidelity audio capture.
SD card slot for local logging and offline operation.
GPIOs for additional sensors like temperature and humidity.

4. Efficient Power Management

Solar-powered or lithium-ion battery for off-grid use.
Brave Power Management circuit for optimized efficiency.

5. Future Upgrades

More sensor support and enhanced AI models.
Secure encryption for safe data transmission.

The AvocAudio Board combines tinyML, IoT, and audio intelligence, making it a powerful tool for AI-driven mass audio collection. Stay tuned for updates!

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