The Coral Dev Board is a single-board computer with a removable system-on-module (SOM) that contains eMMC, SOC, wireless radios, and Google’s Edge TPU. It’s perfect for IoT devices and other embedded systems that demand fast on-device ML inferencing.

You can use the Dev Board as a single-board computer for accelerated ML processing in a small form factor, or as an evaluation kit for the SOM that’s on-board. The 40 mm × 48 mm SOM on the Dev Board is available at volume. It can be combined with your custom PCB hardware using board-to-board connectors for integration into products.

The SOM is based on NXP's iMX8M system-on-chip (SOC), but its unique power comes from the Edge TPU coprocessor. The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing with a low power cost. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 100+ fps, in a power efficient manner.

Edge TPU key benefits:

High-speed TensorFlow Lite inferencing
Low Power
Small footprint

The baseboard includes all the peripheral connections you need to prototype a project, including USB 2.0/3.0 ports, DSI display interface, CSI2 camera interface, Ethernet port, speaker terminals, and a 40-pin GPIO header.

Coral is a division of Google, that helps you build intelligent ideas with our platform for local AI.

Features:

SOM

NXP i.MX 8M SOC (Quad-core Cortex-A53, plus Cortex-M4F)
Google Edge TPU ML accelerator coprocessor
Cryptographic coprocessor
Wi-Fi 2x2 MIMO (802.11b/g/n/ac 2.4/5GHz)
Bluetooth 4.1
8GB eMMC
1GB LPDDR4 / 4GB LPDDR4

USB Connections

USB Type-C power port (5V DC)
USB 3.0 Type-C OTG port
USB 3.0 Type-A host port
USB 2.0 Micro-B serial console port

Audio connections

3.5mm audio jack (CTIA compliant)
Digital PDM microphone (x2)
2.54mm 4-pin terminal for stereo speakers

Video connections

HDMI 2.0a (full size)
39-pin FFC connector for MIPI-DSI display (4-lane)
4-pin FFC connector for MIPI-CSI2 camera (4-lane)

It aslo includes

MicroSD card slots
Gigabit Ethernet ports
40-pin GPIO expansion headers
Supports Debian Linuxs

Models are built using TensorFlow

Fully supports MobileNet and Inception architectures though custom architectures are possible

Compatible with Google Cloud

Supports TFLite

No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Coral Dev Board

Scale from prototype to production

Considers your manufacturing needs. The SOM can be removed from the baseboard, ordered in bulk, and integrated into your hardware.

Includes a full system

SOC + ML + Connectivity all on the board running a variant of Linux, so you can run your favourite Linux tools with this board.

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 / 4 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

Package Includes:

1 x Coral Dev Board

Processor Specifications
Micro Processor	Quad-core Cortex-A53, plus Cortex-M4F
Board Specifications
Storage	8GB eMMC
Memory Specifications
RAM	1GB LPDDR4