SeeedStudio Grove AI HAT for Edge Computing

  1. Supply Voltage: 5V (can not exceed 5.5V)
  2. IO Voltage: 3.3V
  3. Operating Ambient Temperature: -20 – 70℃
  4. ADC: Onboard 16-bit ADC

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Schematic

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Supply Voltage

5V (can not exceed 5.5V)

IO Voltage

3.3V

Operating Ambient Temperature

-20 – 70℃

ADC

Onboard 16-bit ADC

3-Axis Accelerometers

ADXL345 ±2 g/±4 g/±8 g/±16 g

GPIO

2x 20 Pin Header compatible with Raspberry Pi

Grove Interface

1x Digital IO, 1x PWM, 1x I2C, 1x UART, 2x ADC

USB Interface

USB 2.0 Device, Type C(Power and Programming)

LCD Interface

8bit MCU LCD 24P 0.5mm FPC connector

DVP Camera Interface

24P 0.5mm FPC connector

Button

1x Reset Button, 1x Boot Button (can be used as User Button)

LED

1x Power LED, 1x Boot LED(can be used as User LED)

Shipping Weight 0.06 kg
Shipping Dimensions 11 × 6 × 4 cm

The Grove AI HAT for Edge Computing is built around Speed MAix M1 AI MODULE with Kendryte K210 processor inside. It’s a low cost but powerful raspberry pi AI hat which assists raspberry pi run the AI at the edge.

It also can work independently for edge computing applications. The MAix M1 is a powerful RISC-V 600MHz AI module that features dual-core 64-bit CPU, 230GMULps 16-bit KPU(Neural Network Processor), FPU(Float Point Unit) supports DP&SP, and APU(Audio Processor) supports 8 mics.

Applications

  1. AI for Edge Computing
  2. Smart Building
  3. Medical equipment
  4. Automation & Process Control
  5. Robot

Features:

  1. CPU: K210 RISC-V Dual Core 64bit, 400Mh(Max. 600Mhz)
  2. FPU: IEEE754-2008 compliant high-performance pipelined FPU
  3. KPU(Neural Network Processor ): 1.Supports the fixed-point model that the mainstream training framework trains according to specific restriction rules, Support for 1×1 and 3×3 convolution kernels,  Support for any form of the activation function, The maximum supported neural network parameter size for real-time work is 5MiB to 5.9Mi
  4. APU(Audio Processor):1. Up to 192kHz sample rate, Up to 8 channels of audio input data, ie 4 stereo channels
  5. Debugging Support: High-speed UART and JTAG interface for debugging

Package Includes:

1 x Grove AI HAT for Edge Computing

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