Adafruit EdgeBadge - TensorFlow Lite for
Microcontrollers
PRODUCT ID: 4400
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 adapted our popular PyBadge board to add a
microphone so you can dip your toes into machine learning waters. It does
everything that the PyBadge does, and as we make more projects that use
Machine Learning we'll adapt this board to make it better and better for machine
learning.
The EdgeBadge is 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.
We've added a PDM microphone on the front as an 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.
You can code the EdgeBadge with: CircuitPython, MakeCode Arcade, TensorFlow
Lite for Microcontrollers / Arduino, and more!
Here's a list of everything you get with the EdgeBadge. Since its a
PyBadge+Microphone 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
Product Dimensions: 86.3mm x 54.3mm x 13.6mm / 3.4" x 2.1" x 0.5"
Product Weight: 29.6g / 1.0oz
https://www.adafruit.com/product/4400/11‐22‐19
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