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Sipeed Maixduino Kit for RISC-V AI + IoT

SKU
110110044
Rating:
80% of 100
8  Reviews Add Your Review

Based on MAIX Module, the Maixduino is a RISC-V 64 development board for AI + IoT applications. Different with other Sipeed MAIX dev. boards, Maixduino was designed in an Arduino Uno form factor, with ESP32 module on board together with MAIX AI module.

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PRODUCT DETAILS

Based on MAIX Module, the Maixduino is a RISC-V 64 development board for AI + IoT applications. Different with other Sipeed MAIX dev. boards, Maixduino was designed in an Arduino Uno form factor, with ESP32 module on board together with MAIX AI module.

Features

  CPU: RISC-V Dual Core 64bit, with FPU; 400MHz neural network processor

  QVGA@60FPS/VGA@30FPS image identification

  Onboard ESP32 module support 2.4G 802.11. b/g/n and Bluetooth 4.2

  Arduino Uno form factor, Arduino compatible interface

  Onboard omnidirectional I2S digital output MEMS Microphone

  24P 0.5mm FPC connector for DVP Camera

  8bit MCU LCD 24P 0.5mm FPC connector

  Support self-elastic micro SD card holder

  Reset and boot button; 3W DAC+PA Audio output

  Just connect the USB Type-C cable to complete the download

  Machine vision based on convolutional neural network

  High performance microphone array processor for machine hearing

  Support MaixPy IDE, Arduino IDE, OpenMV IDE, and PlatformIO IDE

  Support Tiny-Yolo, Mobilenet and TensorFlow Lite for deep learning

MAIX is Sipeed' s purpose-built product series designed to run AI at the edge. Move AI models from cloud down to devices on the edge of the network where they can run faster, at lower cost, and with greater privacy.

MAIX isn't just a hardware solution, it combines custom hardware, open software, and state-of-the-art AI algorithms. Different kinds of dev. boards, kits, peripherals as well as wide compatibility enable rapid and agile prototype development, make AIoT projects much easier. And thanks to MAIX' s performance, small footprint, low power, and low cost, it enables the broad deployment of high-quality Edge AI.

Applications

 Smart Home  applications like robot cleaners, smart speakers, electronic door locks, household monitoring etc.

 Medical Industry  applications like Auxiliary diagnosis and treatment, medical image recognition, emergency alarm etc.

 Smart Industry  applications like industrial machinery, intelligent sorting, monitoring of electrical equipment, etc.

 Education  applications like educational robots, intelligent interactive platforms, educational efficiency inspection, etc.

 Agriculture  applications like agricultural monitoring, pest and disease monitoring, automated control, etc.

Specification

Master module Sipeed MAIX-I AIoT module
Power input USB Type-C
DC-DC step-down circuit:support 6-12V input;Provide 5V 1.2A output
Micro SD card（TF card） slot Support Self-elastic card holder
Onboard MEMS microphone MSM261S4030H0 is an omnidirectional, Bottom-ported, I2S digital output MEMS Microphone. It has high performance and Reliability.
DVP Camera interface 24P 0.5mm FPC connector
LCD connector 8bit MCU LCD 24P 0.5mm FPC connector
Audio output DAC+PA:
TM8211:16 bit dynamic range;Low harmonic distortion
NS4150:3W output power;Up to 90% efficiency;
ESP32 module Support 2.4G 802.11.b/g/n
802.11 n (2.4 GHz) speeds up to 150 Mbps
Bluetooth v4.2 full standard, including traditional Bluetooth (BR/EDR) and Bluetooth Low Energy (BLE)
Supply voltage of external power supply 4.8V ~ 5.2V
Supply current of external power supply >600mA
Temperature rise <30K
Range of working temperature -30℃ ~ 85℃
MCU: ESP8285 Tensilica L106 32-bit MCU
Wireless Standard 802.11 b/g/n
Frequency Range 2400Mhz - 2483.5Mhz
TX Power(Conduction test)

802.11.b : +15dBm
802.11.g : +10dBm(54Mbps)
802.11.n : +10dBm (65Mbps)
Antenna Connector IPEX 3.0x3.0mm
Wi-Fi mode Station/SoftAP/SoftAP+Station

Part List

1 x Maixduino dev. board

1 x GC0328 camera module

1 x 2.4 inch TFT Display

ECCN/HTS

HSCODE 8543709990
USHSCODE 8543708900
UPC

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REVIEWS

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  1. Rating
    20%
    Another fake advertised tech specs
    QVGA @ 60 fps?

    Basic 2 line
    img = sensor.snapshot()
    print(clock.fps())

    is 15fps max.
    By
  2. Rating
    100%
    Little, but very powerful
    From the first touch the computer vision performance of this little thing is just amazing. It's pretty good backed by software, so in a couple of hours I've already managed to start some "hello world" AI example with MaixPy. Official documentation is quite good, but mainly covers MaixPy shell, which has its limitations. There's still Kendryte official SDK for C++, which allows to get the maximum of the hardware, but is a little darker zone, so we need to explore it ourselves.
    One especially good thing about it is that all the software I came across is free and open source, so you can always take a look at official implementation of something in e.g. MaixPy or build the necessary part yourself.
    By
  3. Rating
    100%
    Maixduino tutorials
    Hi. Check tutorials for Sipeed Maixduino board on our website - acoptex.com
    By
  4. Rating
    100%
    Maixduino tutorials
    Hi. Check tutorials for Sipeed Maixduino board on our website - http://acoptex.com
    By
  5. Rating
    60%
    Difficulty in getting Maixduino to work
    This board looks OK but is difficult to upload the sketches. I spent a week trying to get help from Seeedstudio but no success. Eventually Sipeed helped out. The software keeps changing and the latest version 0.3.10 is needed. Also, there ae 2 serial ports, one for the K210 and one for the ESP32. Make sure you use the first
    By

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