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Product description: SparkFun MicroMod Machine Learning Carrier Board - extension for MicroMod module - DEV-16400
Module using to work on a board MicroMod board with RP2040, ESP32, SAMD51 or Artemis microcontroller installed in M.2 connector. The extension allows for learning machine learning by using speech recognition, voice commands, gestures or image recognition in TensorFlow environment. The board does not require an Internet connection to work properly, the audio analysis is done in MicroMod and not on the Internet.
The board is equipped with MEMS microphones with PDM and I2S interface, ST LIS2DH12 3-axis accelerometer , camera interface connector and Qwiic connector. The USB type C connector has been designed for programming the board, while the JTAG connector has been designed for more advanced users who prefer to use all the available power and speed of professional tools. Apart from that, the board features a microSD card slot and two buttons: Reset and Boot.
The kit does not include the SparkFun MicroMode module with RP2040, ESP32 SAMD51 or Artemis microcontroller, which is required for the module to work properly.
MicroMod expansion board with module with RP2040 microcontroller.
MicroMod expansion board.
Manufacturer provides user guide with library and sample programs for use in Arduino IDE environment.
Main features of MicroMod Machine Learning Carrier Board
- 65-pin SMD M.2 connector to connect MicroMod
- Digital I2C MEMS PDM microphone Invensense ICS-43434 (COMP)
- Knowles SPH0641LM4H-1 Digital MEMS PDM Microphone (IC)
- Lithium battery for real time clock (RTC) ML414H-IV01E
- ST 3-axis accelerometer LIS2DH12TR
- USB Type C connector
- 24-pin 0.5mm FPC connector for Himax camera
- Qwiic connector
- MicroSD slot
- Included M2.5 x 3 mm screw for mounting microcontroller board to M.2 socket
SparkFun MicroMod Machine Learning Carrier Board - extension for MicroMod module - DEV-16400
MicroMod is a popular series of boards based on Raspberry Pi Pico microcontroller. The modules, despite their compact size, are characterized by relatively high performance and universal applicability.
The described MicroMod Machine Learning Carrier Board model DEV-16400 was designed by SparkFun company. Thanks to clear markings, the module can be successfully used by novice users of Raspberry Pi Pico and other popular microcontrollers.
MicroMod extension model DEV-16400 Small size - huge possibilities
This extension is equipped with a number of practical connectors, as well as a slot for microSD memory cards.
Together with RPi Pico or other microcontrollers, the MicroMod Machine Learning Carrier Board module can be used to create projects of various complexity.
