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

Part List

1 x Maixduino dev. board

1 x OV2640 camera module

Sipeed MAix Go have on board JTAG&UART based on STM32F103C8, I2S Mic, Speaker, RGB LED, Mic array connector, thumbwheel, TF card Slot and lithium battery manager chip with power path management function, all pins out, with standard M12 lens DVP camera.

Sipeed MAix: AI at the edge

AI is pervasive today, from consumer to enterprise applications. With the explosive growth of connected devices, combined with a demand for privacy/confidentiality, low latency and bandwidth constraints, AI models trained in the cloud increasingly need to be run at the edge.

MAIX is Sipeed’s purpose-built module designed to run AI at the edge, we called it AIoT. It delivers high performance in a small physical and power footprint, enabling the deployment of high-accuracy AI at the edge, and the competitive price make it possible embed to any IoT devices. As you see, Sipeed MAIX is quite like Google edge TPU, but it act as master controller, not an accelerator like edge TPU, so it is more low cost and low power than AP+edge TPU solution.

MAix's Advantage and Usage Scenarios:

• MAIX is not only hardware, but also provide an end-to-end, hardware + software infrastructure for facilitating the deployment of customers' AI-based solutions.
• Thanks to its performance, small footprint, low power, and low cost, MAIX enables the broad deployment of high-quality AI at the edge.
• MAIX isn't just a hardware solution, it combines custom hardware, open software, and state-of-the-art AI algorithms to provide high-quality, easy to deploy AI solutions for the edge.
• MAIX can be used for a growing number of industrial use-cases such as predictive maintenance, anomaly detection, machine vision, robotics, voice recognition, and many more. It can be used in manufacturing, on-premise, healthcare, retail, smart spaces, transportation, etc.

MAix's CPU

• In hardware, MAIX have powerful KPU K210 inside, it offers many excited features:
• 1st competitive RISC-V chip, also 1st competitive AI chip, newly release in Sep. 2018
• 28nm process, dual-core RISC-V 64bit IMAFDC, on-chip huge 8MB high-speed SRAM (not for XMR :D), 400MHz frequency (able to 800MHz)
• KPU (Neural Network Processor) inside, 64 KPU which is 576bit width, support convolution kernels, any form of activation function. It offers 0.25TOPS@0.3W,400MHz, when overclock to 800MHz, it offers 0.5TOPS. It means you can do object recognition 60fps@VGA
• APU (Audio Processor) inside, support 8mics, up to 192KHz sample rate, hardcore FFT unit inside, easy to make a Mic Array (MAIX offer it too)
• Flexible FPIOA (Field Programmable IO Array), you can map 255 functions to all 48 GPIOs on the chip
• DVP camera and MCU LCD interface, you can connect an DVP camera, run your algorithm, and display on LCD
• Many other accelerators and peripherals: AES Accelerator, SHA256 Accelerator, FFT Accelerator (not APU's one), OTP, UART, WDT, IIC, SPI, I2S, TIMER, RTC, PWM, etc.

MAix's Module

Inherit the advantage of K210's small footprint, Sipeed MAIX-I module, or called M1, integrate K210, 3-channel DC-DC power, 8MB/16MB/128MB Flash (M1w module add wifi chip esp8285 on it) into Square Inch Module. All usable IO breaks out as 1.27mm(50mil) pins, and pin's voltage is selectable from 3.3V and 1.8V.

Sipeed MAix Go development kit

MAix Go is bigger and better than M1 Dock.

• It is 88x60mm, all pins out, with standard M12 lens DVP camera, and the Camera can be fliped from front to rear!
• It have on board JTAG&UART based on STM32F103C8, so you can debug M1 without extra Jlink.
• It have lithium battery manager chip with power path management function, you can use the board with lithium battery and usb power without conflict~
• It have I2S Mic, Speaker, RGB LED, Mic array connector, thumbwheel, TF card Slot and so on.
• This suit include 2.8 inch LCD too, and have an simple case for it.

MAix's Software

MAIX support original standalone SDK, FreeRTOS SDK base on C/C++.
And we port micropython on it: http://en.maixpy.sipeed.com/. It support FPIOA, GPIO, TIMER, PWM, Flash, OV2640, LCD, etc. And it have zmodem, vi, SPIFFS on it, you can edit python directly or sz/rz file to board. We are glad to see you contribute for it:
https://github.com/sipeed/MaixPy //Maixpy project
https://github.com/sipeed/MaixPy_Doc_Us_En_Backup //Maixpy wiki project

MAix's Deep learning

MAIX support fixed-point model that the mainstream training framework trains, according to specific restriction rules, and have model compiler to compile models to its own model format.
It support tiny-yolo, mobilenet-v1, and, TensorFlow Lite! Many TensorFlow Lite model can be compiled and run on MAIX! And We will soon release model shop, you can trade your model on it.