Google Coral AI Development Kit-4GB

  • Brands Coral Code: GG-CORAL-4G MPN: G950-06210-01
RM990.00
Cashback: RM29.70
  • 5 or more RM970.20
  • Availability: 2

    Buy locally from a partner

    Country:
    Description

    The Dev Board is a single-board computer that's ideal when you need to perform fast machine learning (ML) inferencing in a small form factor. You can use the Dev Board to prototype your embedded system and then scale to production using the onboard Coral System-on-Module (SoM) combined with your custom PCB hardware.

    The SoM provides a fully integrated system, including NXP's iMX 8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google's 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 almost 400 FPS, in a power-efficient manner.

    The baseboard provides all the peripheral connections you need to prototype a project, including USB 2.0/3.0 ports, DSI display interface, CSI-2 camera interface, Ethernet port, speaker terminals, and a 40-pin I/O header.

    Key benefits of the Dev Board:

    • High-speed and low-power ML inferencing (4 TOPS @ 2 W)
    • A complete Linux system (running Mendel, a Debian derivative)
    • Prototyping and evaluation board for the small Coral SoM (40 x 48 mm)

     

    Board layout

     

    I/O header pinout

    All I/O pins on the 40-pin header are powered by the 3.3 V power rail, with a programmable impedance of 40-255 ohms, and a max current of ~82 mA.

    All I/O pins have a 90k pull-down resistor inside the iMX 8M SoC that is used by default during bootup, except for the I2C pins, which instead have a pull-up to 3.3 V on the SoM. However, these can all be changed with a device tree overlay that loads after bootup.

    You can interact with each pin using standard Linux interfaces such as device files (/dev) and sysfs files (/sys). For usage information, see Connect to the Dev Board I/O pins.

     

    Check out Solutions Architect Markku Lepistö introducing the Google Coral Dev Board in this Getting Started with Coral Dev Board video: 

    Warranty Period: 12 months
    Features

    Features:

    • Performs high-speed ML inferencing
      The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power-efficient manner.
       
    • Provides a complete system
      A single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux we call Mendel, so you can run your favorite Linux tools with this board.
       
    • Supports TensorFlow Lite
      No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
       
    • 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. 

    Technical specifications:

    • 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
      • 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)
    • MicroSD card slots
    • Gigabit Ethernet ports
    • 40-pin GPIO expansion headers
    • Supports Debian Linux
    • Dimension: 

    Packing List
    • 1 x Google Coral AI Development Kit-4GB

     

     

    Q & A

    Ask a question

    Reviews
    No Review Found

    Tags: AI, Artificial Intelligence, image processing, Edge Computing, Machine Learning