EdgeBadge - TensorFlow Lite - mini console for microcontrollers - Adafruit 4400

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Характеристики

Promotion
BF10

Прочие свойства

Бренд
Adafruit

Экран

Тип экрана
LCD TFT
Диагональ экрана
1.8'', 1.8''
Разрешение экрана
128x160px

Описание

Product description: EdgeBadge - TensorFlow Lite - mini console for microcontrollers - Adafruit 4400

EdgeBadgemini console manufactured byAdafruit. It has aTFTdisplaywith1.8''diagonal and160 x 128 pxresolution. The console contains8 buttonsfor control, which are finished with silicone caps. The module is equipped with 5 NeoPixelLEDs, signaling activity during the game, and with a number ofsensors: 3-axis accelerometer, light sensor, as well as a mini speaker with buzzer and Mono Class-D speaker driver.

EdgeBadge mini console with 1.8'' TFT display.

EdgeBadge technical specifications
  • Chip: ATSAMD51J19
    • power supply: 3.3 V
    • clocking: 120 MHz
    • Flash memory: 512 kB
    • SPI Flash memory: 2 MB
    • RAM: 193 kB
  • Display:
    • technology: TFT
    • diagonal: 1,8''
    • resolution: 160 x 128 px
    • communication interface: SPI
  • Control: 8 buttons for control with silicone button caps
  • Status indication: 5 NeoPixels LEDs
  • Built-in sensors:
    • Motion sensor: 3-axis accelerometer
    • light sensor
    • mini speaker with buzzer
    • Mono Class-D speaker driver
  • Ports:
    • Li-Pol battery port with built-in charging function
    • USB port for battery charging, programming and debugging
    • two FeatherWings compatible female strips
    • JST ports
  • RESET utility button
  • ON / OFF switch
  • Mini console dimensions: 86.3 x 54.3 x 13.6 mm
  • Weight: 29.6 g
EdgeBadge programming

The EdgeBadge console from Adafruit can be programmed in three ways:

  • MakeCode Arcade- the easiest runtime program that allows the user to create games using block programming and load them through the bootloader.
  • CircuitPython- is a support for a wide range of sensors that allows you to create custom, proprietary graphics, play wave files, and also allows you to create text in any font.
  • TensorFlow Lite for Microcontrollers / Arduino- also designed to run machine learning models on microcontrollers and other modules. TensorFlow Lite for Microcontrollers is written in C++ and requires a 32-bit platform. The framework is available as an Arduino library.

Extensive programming capabilities due to support by the most popular platforms: MakeCode, CircuitPython and Arduino.

Useful links
  • Manufacturer's website: Adafruit 4400