SparkFun MicroMod Machine Learning Carrier Board
Edge-ready SparkFun carrier board with dual mics, accelerometer, and USB-C for AI projects—no cloud required.
The SparkFun MicroMod Machine Learning Carrier Board is a cutting-edge solution designed for Edge computing applications, enabling standalone machine learning tasks such as audio analysis and response without relying on a web connection. Perfect for developers looking to integrate AI into their projects, this carrier board reduces power consumption while delivering advanced functionality.
Key Features:
- Dual MEMS microphones (1x PDM, 1x I2C) for high-quality audio input * ST LIS2DH12 3-axis accelerometer for motion sensing * 24-pin 0.5mm FPC camera connector for vision-based applications * USB-C, Qwiic, and MicroSD slots for expanded connectivity * Convenient physical Reset & Boot buttons for development flexibility
Compatibility Note: This board requires a MicroMod processor (DEV-17720) to function fully. Part of the SparkFun MicroMod range, it streamlines the integration of machine learning into embedded systems.
Applications:
- AI voice recognition (e.g., detecting speech commands like yes/no) * Sensor-based IoT projects * Standalone edge computing applications * Prototyping real-time machine learning models * Robotics and automation development
- AI voice recognition
- Edge computing applications
- IoT sensor projects
- Machine learning prototyping
- Dual MEMS microphones (1x PDM, 1x I2C)
- ST LIS2DH12 3-axis accelerometer
- 24-pin 0.5mm FPC camera connector
- USB-C, Qwiic, and MicroSD slot
- Physical Reset & Boot buttons
Free standard delivery on Australian mainland orders. Express delivery options and international shipping available at checkout.
We offer a 30-day money-back guarantee on most products. For faulty items, contact us within 14 days for a replacement or refund.
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