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Arduino Tiny Machine Learning Kit

by Arduino
Ever wondered how to build a small intelligent device that reacts to sounds like a keyword being spoken, recognizes gestures like waving a magic wand, or even recognize faces? With this kit combined with the power of Tiny Machine Learning (TinyML) you can do all of that and much more! We want to show you how these possibilities can be part of your own tiny smart device!
02-00010192
Company: Arduino
Part Number: AKX00028
Made in: Italy
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59.90
Without VAT 48.31

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DESCRIPTION

The Tiny Machine Learning Kit, combined with the exciting TinyML Applications and Deploying TinyML on Microcontrollers courses that are part of the Tiny Machine Learning (TinyML) specialization from EdX will equip you with all the tools you need to bring your ML visions to life!

The kit consists of a powerful board equipped with a microcontroller and a wide variety of sensors (Arduino Nano 33 BLE Sense). The board can sense movement, acceleration, rotation, temperature, humidity, barometric pressure, sounds, gestures, proximity, color, and light intensity. The kit also includes a camera module (OV7675) and custom Arduino shield to make it easy to attach your components and create your very own unique TinyML project. You will be able to explore practical ML use cases using classical algorithms as well as deep neural networks powered by TensorFlow Lite Micro. The possibilities are limited only by your imagination!

THE PACKAGE INCLUDES 

 

SPECIFICATIONS

Arduino Nano 33 BLE Sense Board

  • Microcontroller: nRF52840 (datasheet)
  • Operating Voltage: 3.3V
  • Input Voltage (limit): 21V
  • DC Current per I/O Pin: 15 mA
  • Clock Speed: 64MHz
  • CPU Flash Memory: 1MB (nRF52840)
  • SRAM: 256KB (nRF52840)
  • EEPROM: none
  • Digital Input / Output Pins: 14
  • PWM Pins: all digital pins
  • UART: 1
  • SPI: 1
  • I2C: 1
  • Analog Input Pins: 8 (ADC 12 bit 200 ksamples)
  • Analog Output Pins: Only through PWM (no DAC)
  • External Interrupts: all digital pins
  • LED_BUILTIN: 13
  • USB: Native in the nRF52840 Processor
  • IMU: LSM9DS1 (datasheet)
  • Microphone: MP34DT05 (datasheet)
  • Gesture, light, proximity: APDS9960 (datasheet)
  • Barometric pressure: LPS22HB (datasheet)
  • Temperature, humidity: HTS221 (datasheet)
  • Length: 45mm
  • Width: 18mm
  • Weight: 5gr (with headers)

FILES

VIDEO

Machine Learning on Arduino with TensorFlow Lite Micro

Arduino is on a mission to make machine learning simple enough for anyone to use. We’ve been working with the TensorFlow Lite team over the past few months and are excited to show you what we’ve been up to together: bringing TensorFlow Lite Micro to the Arduino Nano 33 BLE Sense. In this article, we’ll show you how to install and run several new TensorFlow Lite Micro examples that are now available in the Arduino Library Manager.