For downloading the Tools, Driver and Firmware use the following link:

https://youyeetoo.com/blog/sipeed-maixduino-xs0010-74

Product Features:

CPU: RISC-V dual-core 64-bit, using FPU400 MHz standard frequency (overclockable) neural network processor
Connector: compatible with Arduino, 24p LCD, 24P camera, TF card slot, speaker
Development environment: support for Arduino IDE
Power input: USB or DC connector (6-12V input; 5V1.2A output)
Download the circuit: just connect the USB type to complete the download (K 210 and ESP 32)
Audio features: MEMS microphone and 3W speaker output
Wireless function (optional): Support 2.4G802.11b/g/n support Bluetooth 4.2

Introduction

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