Google Coral Dev Board

by Google

Image of Board

A development board to quickly prototype on-device ML products. Scale from prototype to production with a removable system-on-module (SOM).

Edge TPU Module

  • CPU NXP i.MX 8M SOC (quad Cortex-A53, Cortex-M4F)
  • GPU Integrated GC7000 Lite Graphics
  • ML accelerator Google Edge TPU coprocessor
  • RAM 1 GB LPDDR4
  • Flash memory 8 GB eMMC
  • Wireless Wi-Fi 2x2 MIMO (802.11b/g/n/ac 2.4/5GHz) Bluetooth 4.1
  • Dimensions 48mm x 40mm x 5mm

Baseboard

  • Flash memory MicroSD slot
  • USB Type-C OTG Type-C power Type-A 3.0 host Micro-B serial console
  • LAN Gigabit Ethernet port
  • Audio 3.5mm audio jack (CTIA compliant) Digital PDM microphone (x2) 2.54mm 4-pin terminal for stereo speakers
  • Video HDMI 2.0a (full size) 39-pin FFC connector for MIPI-DSI display (4-lane) 24-pin FFC connector for MIPI-CSI2 camera (4-lane)
  • GPIO 3.3V power rail 40 - 255 ohms programmable impedance ~82 mA max current
  • Power 5V DC (USB Type-C)
  • Dimensions 88 mm x 60 mm x 24mm

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Adafruit Blinka Installation

We use a special library called adafruit_blinka (named after Blinka, the CircuitPython mascot) to provide the layer that translates the CircuitPython hardware API to whatever library the Linux board provides.

For example, on Raspberry Pi we use the python RPi.GPIO library. For any I2C interfacing we'll use ioctl messages to the /dev/i2c device. For SPI we'll use the spidev python library, etc. These details don't matter so much because they all happen underneath the adafruit_blinka layer.