TensorFlow Lite for Microcontrollers Kit
PRODUCT ID: 4317
Machine learning has come to the 'edge' - small microcontrollers that can
run a very miniature version of TensorFlow Lite to do ML computations.
But you don't need super complex hardware to start developing your own
TensorFlow models! We've curated a simple kit to dip your toes into machine
learning waters.
Kit includes:
Adafruit PyBadge with SAMD51 Cortex M4F processor @ 120MHz, with
display, speaker and buttons
Electret Microphone Amplifier - MAX4466 with Adjustable Gain
JST PH 3-Pin to Female Socket Cable - 200mm
Lithium Ion Polymer Battery with Short Cable - 3.7V 350mAh
The kit uses our PyBadge as your edge processor. It's a compact board - it's
credit card sized. It's powered by our favorite chip, the ATSAMD51, with
512KB of flash and 192KB of RAM. We add 2 MB of QSPI flash for file storage,
handy for TensorFlow Lite files, images, fonts, sounds, or other assets.
You can plug in a microphone into the ports at the bottom, to add
microphone input for micro speech recognition. Our Arduino library has
some demos you can get started with to recognize various word pairs like
"yes/no", "up/down" and "cat/dog". TensorFlow Lite for microcontrollers is
very cutting-edge so expect to see a lot of development happening in this
area, with lots of code and process changes.
Some light soldering is required to attach the microphone headers onto the
board.
Here's a list of everything you get with the PyBadge, you can read a lot more
about it on the product page
ATSAMD51J19 @ 120MHz with 3.3V logic/power - 512KB of FLASH +
192KB of RAM
2 MB of SPI Flash for storing images, sounds, animations, whatever!
1.8" 160x128 Color TFT Display connected to its own SPI port
8 x Game/Control Buttons with nice silicone button tops (these feel
great)
5 x 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 4-8 ohm speakers, up to 2 Watts
LiPoly battery port with built in recharging capability
USB port for battery charging, programming and debugging
Two female header strips with Feather-compatible pinout so you can
plug any FeatherWings in
JST ports for NeoPixels, sensor input, and I2C (you can fit I2C Grove
connectors in here)
Reset button
On-Off switch
TECHNICAL DETAILS
https://www.adafruit.com/product/4317/7‐26‐19
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