Sipeed newly provide breadboard-friendly board for you, it called MAix BiT. It integrate 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), TF card solt.
- 10+: $12.60
Sipeed has released the upgrades version of Sipeed MAix, mainly upgrading the following four items:
- Added MEMS microphone
- CH340 was changed to CH552
- 24P connectors(Front lock) were changed to 24P connectors(rear lock)
- Added two LEDs to display serial state
We have released the Sipdeed AI forum area, where we will publish relevant resources from time to time. You are welcome to ask questions and communicate in the forum area.
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.
Sipeed MAix BiT development board
As many DIYer want build their own work with breadboard, Sipeed newly provide breadboard-friendly board for you, it called MAix BiT
- It is twice of M1 size, 1x2 inch size, breadboard-friendly, and also SMT-able
- It integrate 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), TF card solt.
- MAix BiT is able to adjust core voltage! you can adjust from 0.8V~1.2V, overclock to 800MHz!
|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 typeC cable to complete the download
Onborad CH340, which support 2Mbps baudrate
|DVP Camera connector||24P 0.5mm FPC connector|
|LCD connector||8bit MCU LCD 24P 0.5mm FPC connector|
|Button||RST button and USR button|
- 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 [email protected],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.
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.
MAIX support original standalone SDK, FreeRTOS SDK base on C/C++.
And we port micropython on it: https://maixpy.sipeed.com/en/ 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.
|FreeRtos & Standard SDK||Support FreeRtos and Standrad development kit.|
|MicroPython Support||Support MicroPython on M1|
|Machine vision||Machine vision based on convolutional neural network|
|Machine hearing||High performance microphone array processor|
|Supply voltage of external power supply||4.8V ~ 5.2V|
|Supply current of external power supply||>600mA|
|Range of working temperature||-30℃ ~ 85℃|
Sipeed MAix Bit x 1
LEARN AND DOCUMENTS
- Sipeed Maix-BIT Spec EN V2.0
- MaixPy Introduction
- Getting Started
- MaixPy Release
- MaixPy Model
- Libraries - Maix
- Libraries - Machine vision
- MicroPython Introduction
- Difference between MicroPython & CPython
- MAIX Bit_1.09(Assembly drawing).pdf
- Telegram group
- FAE support email: [email protected]
- Kendryte K210 FreeRTOS SDK
- Kendryte K210 Standalone SDK
- Kendryte K210 datasheet English ver.V0.1.5
- Kendryte Standalone SDK Programming Guide-ZN-V0.4.0
- Kendryte FreeRTOS SDK Programming Guide-EN-V0.1.0
- Kendryte OpenOCD for win32 V0.1.3
- Kendryte OpenOCD for Ubuntu x86_64 V0.1.3
- RISC-V 64bit toolchain for Kendryte K210_win amd 64
- RISC-V 64bit toolchain for Kendryte K210_ubuntu_amd64
- K-Flash V0.3.0
- Kendryte K210 Model Download Guide V0.1.0
- Kendryte K210 Face Detection Demo V0.1.0
- Cmake installation
- Windows CPP Build tools
SHARED BY USERS
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A great piece of kit!Assembly was easy and it was up and running quickly. Using maixpy it was finding faces within a half an hour. Now to train it to recognize my cats.
platformioplatformio fully supports this. Going the c/c++ router rather than Python is a little more difficult as far as development. But a much greater reward. Works great in my testing. And it supports the Arduino libraries.
Early Adoption SuxKendryte IDE really buggy. Not a lot of useful installation guidance. Most of the important manuals are in Chinese. Chip seems to ship with a version of MicroPython without chip specific libraries - or at least it fails to run the example helloworld code because it can't find the loaded library. Rebombing instructions are thin, potential (apparently) to brick if you get it wrong. This will either all smooth out over time OR be the death of this chipset.