$477.00
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: |
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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