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Sipeed MAIX: New Experience to RISC-V AIoT tinyML

Out-of-Box Platform for TinyML/AIoT, RISC-V 32/64 board from $4, 100GOPS, online AI model training!

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Sipeed MAIX: New Experience to RISC-V AIoT tinyML

Sipeed MAIX: New Experience to RISC-V AIoT tinyML

Sipeed MAIX: New Experience to RISC-V AIoT tinyML

Sipeed MAIX: New Experience to RISC-V AIoT tinyML

Sipeed MAIX: New Experience to RISC-V AIoT tinyML

Out-of-Box Platform for TinyML/AIoT, RISC-V 32/64 board from $4, 100GOPS, online AI model training!

Out-of-Box Platform for TinyML/AIoT, RISC-V 32/64 board from $4, 100GOPS, online AI model training!

Out-of-Box Platform for TinyML/AIoT, RISC-V 32/64 board from $4, 100GOPS, online AI model training!

Out-of-Box Platform for TinyML/AIoT, RISC-V 32/64 board from $4, 100GOPS, online AI model training!

Wu Caesar
Wu Caesar
Wu Caesar
Wu Caesar
5 Campaigns |
Shenzhen, China
$5,628 USD $5,628 USD 75 backers
437% of $1,285 Flexible Goal Flexible Goal
Prototype
The project team has a working demo, not the final product. Their ability to begin production may be affected by product development or financial challenges.
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Highlights
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Sipeed is focus on RISC-V and AIoT/tinyML Deploy, provide highly cost-effective AIoT solutions.

Sipeed MAIX is Out-of-Box TinyML/AIoT Platform for everyone, composed of Hardware(M0,M1,M2,M3...),Software(TinyMaix,MaixPy,MaixHAL,MaixBox), Service(MaixHub model/app shop).

In this project, we will introduce new rich-featured Hardware M1s and M0sense:

M1s: 480M RV64(C906)+ 320M RV32(E907) + 160M RV32(E902) Heterogeneous Tri-core AIoT MCU, 64MByte UHS PSRAM(2000M clk), 100GOPS NPU, WIFI/BLE/Zigbee, USB OTG HS,MIPI Camera, RGB LCD, also with basic Linux support!

M0sense: New typical TinyML board with Auido/IMU sensors, support KeyWords Spotting/Human Activity Recognition/Gesture Recognition applications.

They are not only highly cost-effective hardware, but also Out-of-Box AIoT platform:

drag and drop apps, lightweight python script, and easy share model/app stores~

 

We also prepare efficient inference lib and online trainning service for AIoT/tinyML enthusiasts:

TinyMaix: Tiny inference Neural Network library specifically for MCUs(TinyML), 400lines core code, deadly easy to port, 40+ chips ported!

MaixHub: Online AI model trainning/sharing platform, support semi-automatic labeling, make your AI model trainning easier!

 

Ready for RISC-V AIoT/tinyML travels? Here we go~

(Note: See FAQ to change to slower but cheaper express)

 

We have M1(K210) several years ago, why we make new AIoT hardware?

K210 is the first RV64 AI chips, have many limits(RAM/OPS/Resolving/Peripheral);

ESP32-S3 is the typical IoT chips, but limited in CPU/AI/RAM.

M1s based on newest BL808, combine advantage of AI and IoT chips, but still keep the same price, it is the Sweet Spot of AIoT hardware!

We also make tiny M1s Dock (~1x2 inch) for most M1s functions demonstration!

Besides special NPU chips, we also awared make TinyML available for every MCU is important.

So we make TinyMaix inference library and typical RISC-V TinyML board M0sense.

M0sense have most tinyML peripherals, able to run typical tinyML models, but it smaller than 1 square inch, only priced at $4 !

It is the best gift for tinyML newbies~

More and more powerful, interesting chips coming out, have no time to learning new SDK development?

No problem, we provide several No-SDK way to play with new advanced chip~

1. Drag and Drop Apps

M1s Dock have USB2.0 HS, M0sense have USB2.0 FS, they can act as virtual mass storage to implement Drag&Drop Apps.

1. We 

2. Python Script

Don't need any SDK, play functions with lightweight python script~

 

3. Support Dynamic C module

no need SDK, import&run simple C module in shell~

4. OpenSource SDK

Still open SDK for senior developers~ include AI toolchain~ (release in Nov.)

5. Linux Supported

M1s C906 core support standard Linux! cheers!

Try AI on the edge! We called it as AIoT(with NPU) or tinyML(without NPU)

We develop new tinyML inference library TinyMaix which suit for almost all MCUs~

TinyMaix is the most Easy-Porting tinyML library ever.

It is so easy to port and use, that we get more than 40 chip/platform supported in one month, most of them are community contribution!

  • Core Code less than 400 lines, code .text section less than 4KB
  • Low ram consume, even Arduino ATmega328 (32KB Flash, 2KB Ram) can run mnist with TinyMaix~
  • Support INT8/FP32/FP16 model, experimentally support FP8, convert from keras h5 or tflite.
  • Supoort multi architecture accelerate: ARM SIMD/NEON/MVEI,RV32P, RV64V, CSKYV2, X86 SSE2
  • User-friendly interfaces, just load/run models~
  • Support Full Static Memory config

We also provide Out-of-Box online model training/sharing platform: MaixHub

It support nearly 10 different inference platform, and provide rich models:

You can train your own classify/detection/kws model on it, even with semi-automatic labeling tools

Enjoy models from maixhub, depoly on M1s/M0sense:

M1s Dock Models

Simple MNIST

Mobilenet 1000 classes classification 

Face detection

Face 68 keypoints

Hand Keypoint

Body Keypoints

M0sense Models

Key Word Spotting 

Magic pen (Gesture)

Abnormal vibration Detection

 

 

Want this RGB LCD Convertor Board?

We will unlock it when crowdfunding amount exceeds 20K  USD~

WIKI: wiki.sipeed.com

Forum: https://www.reddit.com/r/Sipeed

Telegram Group: https://t.me/sipeed

QQ group: 592731168

FAE support email: support@sipeed.com

Sipeed is an young team from Shenzhen, China.

We are expert at IoT Application, Embeded System, Deep Learning.

We aim to build full stack AIoT/tinyML platform, make AI easier for every one.

Let's Sipeed up, Maximize AI's power!

Looking for more information? Check the project FAQ
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Choose your Perk

M1s dock fullx3+M0sense LCDx3
featured

M1s dock fullx3+M0sense LCDx3

Currency Conversion $81 USD $103 USD (21% off)
$628 HKD
M1s dock fullx3+M0sense LCDx3
Included Items
  • M0sense (3)
  • 0.96inch LCD (3)
  • M1s dock full (3)
Estimated Shipping
November 2022
29 out of 100 of claimed
Ships worldwide.
M0sense x5

M0sense x5

Currency Conversion $19 USD $24 USD (20% off)
$149 HKD
M0sense x5
Included Items
  • M0sense (5)
Estimated Shipping
November 2022
2 out of 100 of claimed
Ships worldwide.
M1s dock full

M1s dock full

Currency Conversion $22 USD $28 USD (21% off)
$169 HKD
M1s dock full: M1s dock + 2MP camera + 1.69inch LCD with CTP + TF2JTAG card + CK-Link+ 3D printing shell
Included Items
  • M1s dock full
Estimated Shipping
November 2022
7 out of 100 of claimed
Ships worldwide.
M1s dock full + M0sense LCD

M1s dock full + M0sense LCD

Currency Conversion $28 USD $34 USD (19% off)
$215 HKD
M1s dock full + M0sense LCD
Included Items
  • M0sense
  • 0.96inch LCD
  • M1s dock full
Estimated Shipping
November 2022
20 out of 100 of claimed
Ships worldwide.
M0sense LCD x5

M0sense LCD x5

Currency Conversion $29 USD $36 USD (19% off)
$228 HKD
M0sense LCD x5: M0sense + 0.96 inch LCD
Included Items
  • M0sense (5)
  • 0.96inch LCD (5)
Estimated Shipping
November 2022
3 out of 100 of claimed
Ships worldwide.
M1s module x5

M1s module x5

Currency Conversion $29 USD $36 USD (19% off)
$228 HKD
M1s module x5
Included Items
  • M1s module (5)
Estimated Shipping
November 2022
3 out of 100 of claimed
Ships worldwide.
M1s dock x5

M1s dock x5

Currency Conversion $49 USD $61 USD (18% off)
$385 HKD
M1s dock x5
Included Items
  • M1s dock
Estimated Shipping
November 2022
4 out of 100 of claimed
Ships worldwide.
M1s dock cam x5

M1s dock cam x5

Currency Conversion $60 USD $76 USD (21% off)
$463 HKD
M1s dock cam x5: M1s dock + 2MP camera
Included Items
  • M1s dock cam (5)
Estimated Shipping
November 2022
3 out of 100 of claimed
Ships worldwide.
M1s dock full x5

M1s dock full x5

Currency Conversion $105 USD $132 USD (20% off)
$815 HKD
M1s dock full x5
Included Items
  • M1s dock full (5)
Estimated Shipping
November 2022
4 out of 100 of claimed
Ships worldwide.

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