Coral Dev Board
Rated 3.5/5 based on 11 customer reviews

Coral Dev Board

Available: Out of Stock
Wishlist
$214.99 $279.99
Successful pre-order.Thanks for contacting us!
Attention
This product has shipping restriction to certain countries. It can only be sent to countries and regions listed as below: Austria , Belgium , Bulgaria , Croatia , Cyprus , Denmark , Estonia , Finland , Germany , Greece , Hong Kong, Hungary , Iceland , Ireland , Italy , Latvia , Liechtenstein , Lithuania , Luxembourg , Malta , Netherlands , Norway , Poland , Portugal , Romania , Slovakia , Slovenia , Spain , Sweden , Switzerland , Turkey , United Kingdom , US

Note
We have released the Coral Dev Board TELEC Version which can be sent to Japan and Korea.
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 ¡Á 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 NXPs 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
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)
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.
More About
Coral Dev 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
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

Part List
1 x Coral Dev Board
Attention
This product has shipping restriction to certain countries. It can only be sent to countries and regions listed as below: Austria , Belgium , Bulgaria , Croatia , Cyprus , Denmark , Estonia , Finland , Germany , Greece , Hong Kong, Hungary , Iceland , Ireland , Italy , Latvia , Liechtenstein , Lithuania , Luxembourg , Malta , Netherlands , Norway , Poland , Portugal , Romania , Slovakia , Slovenia , Spain , Sweden , Switzerland , Turkey , United Kingdom , US

Note
We have released the Coral Dev Board TELEC Version which can be sent to Japan and Korea.
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 ¡Á 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 NXPs 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
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)
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.
More About
Coral Dev 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
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

Part List
1 x Coral Dev Board

RETURNS POLICY

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi ut blandit risus. Donec mollis nec tellus et rutrum. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Ut consequat quam a purus faucibus scelerisque. Mauris ac dui ante. Pellentesque congue porttitor tempus. Donec sodales dapibus urna sed dictum. Duis congue posuere libero, a aliquam est porta quis.

Donec ullamcorper magna enim, vitae fermentum turpis elementum quis. Interdum et malesuada fames ac ante ipsum primis in faucibus.

Curabitur vel sem mi. Proin in lobortis ipsum. Aliquam rutrum tempor ex ac rutrum. Maecenas nunc nulla, placerat at eleifend in, viverra etos sem. Nam sagittis lacus metus, dignissim blandit magna euismod eget. Suspendisse a nisl lacus. Phasellus eget augue tincidunt, sollicitudin lectus sed, convallis desto. Pellentesque vitae dui lacinia, venenatis erat sit amet, fringilla felis. Nullam maximus nisi nec mi facilisis.

SHIPPING

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi ut blandit risus. Donec mollis nec tellus et rutrum. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Ut consequat quam a purus faucibus scelerisque. Mauris ac dui ante. Pellentesque congue porttitor tempus. Donec sodales dapibus urna sed dictum. Duis congue posuere libero, a aliquam est porta quis.

Donec ullamcorper magna enim, vitae fermentum turpis elementum quis. Interdum et malesuada fames ac ante ipsum primis in faucibus.

Curabitur vel sem mi. Proin in lobortis ipsum. Aliquam rutrum tempor ex ac rutrum. Maecenas nunc nulla, placerat at eleifend in, viverra etos sem. Nam sagittis lacus metus, dignissim blandit magna euismod eget. Suspendisse a nisl lacus. Phasellus eget augue tincidunt, sollicitudin lectus sed, convallis desto. Pellentesque vitae dui lacinia, venenatis erat sit amet, fringilla felis. Nullam maximus nisi nec mi facilisis.