Maix Bit Kit

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Development Module MCU New Arrivals CPU AI

Internal Reference: SIP-005

Maix Bit Kit

Experience awesome creativity and robotics with the state-of-the-art Maix Bit Kit! It’s your chance to take coding to the next level. Powered by a high-performance dual-core 64-Bit RISC-V processor, this amazing kit is ideal for hobbyists looking to explore machine vision, machine hearing, microPython support, and more.

AI is spreading widely 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 and powerful footprint, enabling the development of high-accuracy AI at the edge, and the competitive price makes it possible to embed to any IoT device. As you see, Sipeed MAIX is quite like Google Edge TPU, but it acts as a master controller, not an accelerator like Edge TPU, so it is more low cost and low power than the AP+edge TPU solution.

MAix's Advantage and Usage Scenarios:

  • MAIX is not only hardware but also provides 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.

Sipeed MAix BiT development board

As many DIYers want to build their own work with a breadboard, Sipeed newly provide breadboard-friendly board for you, it is called MAix BiT

MAix's CPU

  • In hardware, MAIX has a powerful KPU K210 inside, it offers many exciting features:
  • 1st competitive RISC-V chip, also 1st competitive AI chip, newly released 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, supports 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 offers 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 a 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 the pin's voltage is selectable from 3.3V and 1.8V.

MAix's Deep learning

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

Software Features

  • FreeRtos & Standard SDK: Support FreeRtos and Standard development kit.
  • MicroPython Support: Support MicroPython on M1
  • Machine vision: Machine vision based on convolutional neural network
  • Machine hearing: High-performance microphone array processor


Electrical Specification

  • 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℃

Features

  • It is twice of M1 size, 1x2 inch size, breadboard-friendly, and also SMT-able
  • It integrates a USB2UART chip, auto download circuit, RGB LED, DVP Camera FPC connector(support small FPC camera and standard M12 camera), MCU LCD FPC connector(support our 2.4-inch QVGA LCD), and TF card slot.
  • MAix BiT is able to adjust core voltage! you can adjust from 0.8V~1.2V, overclock to 800MHz!

Maix Bit Kit Specification

  • CPU: RISC-V Dual Core 64bit, 400MHz adjustable: Powerful dual-core 64-bit open architecture-based processor with rich community resources
  • Debugging Support: High-speed UART and JTAG interface for debugging
  • GPIO interface: All GPIOs connected to header 2*20 2.54mm
  • Micro SD card(TF card) slot: Support Self-elastic card holder
  • One-click Download circuit: Just connect the USB type C cable to complete the download
  • Onboard CH340, which support 2Mbps baud rate
  • DVP Camera connector: 24P 0.5mm FPC connector
  • LCD connector: 8bit MCU LCD 24P 0.5mm FPC connector
  • Button: RST button and USR button

Documentation

Maix Bit Datasheet



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