$477.00

SKU: 1005003667186377 Category:

Description

  • Brand Name: smartfly
  • Demo Board Type: ARM
  • Origin: US(Origin)
  • ROM Capacity: 8GB
  • Memory Capacity: 1GB
  • Intergrated Feature: 10/100/1000Mbps,WiFi 802.11b/g/n,bluetooth
  • Interface: 2 x USB2.0,TF Card Support,USB OTG
  • Certification: CE,FCC,RoHS
  • MLAccelerator: Google Edge TPU

Introduction

Coral Dev Board is a single-board computer with a removable system-on-module (SOM) that contains eMMC, SOC, wireless radios, and Google’s TPU. It’s perfect for IoT devices and other embedded systems that demand fast on-device ML Inferencing. The Dev Board can be used as a single-board computer for accelerated ML processing in a small form factor, or as an evaluation kit for the on-board SOM. Additional 40mm × 48mm SOMs can be combined with your custom PCB hardware using Board-to-board connectors for integration into products.

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

Description

The Coral Accelerator Module is a multi-chip module (MCM) designed to perform high-speed inferencing for machine

learning (ML) models. It includes the Edge TPU ML accelerator with integrated power control, and it can be connected over

a PCIe Gen2 x1 or USB2 interface.

The Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power efficient manner: it’s

capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power—that’s 2 TOPS per watt. For

example, one Edge TPU can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 frames per

second. This on-device ML processing reduces latency, increases data privacy, and removes the need for a constant

internet connection.

Note: USB 3.0 is also available but requires special design considerations.

Features

● Google Edge TPU ML accelerator

○ 4 TOPS peak performance (int8)

○ 2 TOPS per watt

● Integrated power management

● PCIe Gen2 x1 or USB 2.0 interface

● Surface-mounted (LGA) module

● Size: 15.0 x 10.0 x 1.5 mm

● Weight: 0.67 g

● Operating temp: -40 to +85 °C

● RoHS compliant

CPU

NXP i.MX 8M SoC (quad Cortex-A53, Cortex-M4F)

GPU

Integrated GC7000 Lite Graphics

ML accelerator

Google Edge TPU coprocessor:
4 TOPS (int8); 2 TOPS per watt

RAM

1 GB LPDDR4 (option for 2 GB or 4 GB coming soon)

Flash memory

8 GB eMMC, MicroSD slot

Wireless

Wi-Fi 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz) and Bluetooth 4.2

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

Availability

Australia, Japan, New Zealand, Taiwan, European Union (except France, Czech Republic), Ghana, Hong Kong, India, Oman, Philippines, Singapore, South Korea, Thailand, United States

[Tech-support]

Wiki: https://youyeetoo.com/blog/

Forum: bbs.youyeetoo.com

ExpertSupport: support@smartfire.cn

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