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.