Adafruit TensorFlow Lite for Microcontrollers Kit

Adafruit TensorFlow Lite for Microcontrollers Kit allows developers to start with TensorFlow models and machine learning. The kit uses the PyBadge as the edge processor that can run CircuitPython, MakeCode Arcade, or Arduino. The ATSAMD51 powers this compact credit-card-sized board with 512KB of Flash, 192KB of RAM, and 2MB of QSPI flash for file storage, handy for TensorFlow Lite files, images, fonts, sounds, or other assets. Plug in a microphone for micro speech recognition. Adafruit's Arduino library offers demos to get started with and to recognize various word pairs like "yes/no," "up/down," and "cat/dog."


  • ATSAMD51J19 at 120MHz with 3.3V logic/power, 512KB of FLASH + 192KB of RAM
  • 2MB of SPI Flash for storing images, sounds, animations, and more
  • 1.8" 160x128 color TFT display connected to an SPI port
  • 8x game/control buttons with silicone button tops
  • 5x NeoPixels for badge dazzle or game score-keeping
  • Triple-axis accelerometer (motion sensor)
  • Light sensor, reverse-mount so that it points out the front
  • Built-in buzzer mini-speaker
  • Mono Class-D speaker driver for 4Ω to 8Ω speakers, up to 2W
  • LiPoly battery port with built-in recharging capability
  • USB port for battery charging, programming, and debugging
  • 2x female header strips with Feather-compatible pinout to plug any FeatherWings in
  • JST ports for NeoPixels, sensor input, and I2C (fits I2C Grove connectors)
  • Reset button
  • On-Off switch

Kit Contents

  • Adafruit PyBadge with SAMD51 Cortex M4F processor at 120MHz, with display, speaker, and buttons
  • MAX4466 electret microphone amplifier with adjustable gain
  • JST PH 3-pin to female socket cable, 200mm
  • Lithium-ion polymer battery with a short cable, 3.7V/350mAh


Veröffentlichungsdatum: 2019-08-13 | Aktualisiert: 2023-06-01