窄足机器人
木质Q版外观
金属中段大扭力舵机
DBSP系统
特點
特點
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[/col] [/row]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 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, 1×2 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!
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.
SOFTWARE FEATURES | |
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 |
ELECTRICAL SPEC | |
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℃ |
Part List
Sipeed MAix Bit x 1
ECCN/HTS
ECCN | 3A991.a |
HSCODE | 8517709000 |
产品型号 | RP8-S41/HP8-S41(紫色中段) | ||
产品尺寸(mm) | 40*20*40 | ||
产品重量(g) | 66g | ||
工作电压(V) | 6.0 | 7.4 | 8.4 |
扭力(Kg-cm) | 32kg | 40kg | 45kg |
速度(sec/60°) | 0.118 | 0.098 | 0.085 |
马达类型 | 空心杯 | ||
输入电压 | 6V-8.4V | ||
使用温度 | -10℃-60℃ | ||
角度范围 | -95°-95° | ||
协议类型(波特率) | UART 全双工 115200bps | ||
反馈 | 位置、电流、温度、电压 | ||
外壳 | 上下盖:尼龙+玻纤工程塑料 中段:6063铝材金属阳极 |
||
齿轮 | 输出齿:CNC加工不锈钢 减速齿:7075铝+铁齿(氮化加厚) |
- Wiki-maixpy
- BBS
- Sipeed Maix-BIT Spec V1.0
- MaixPy Introduction
- Getting Started
- MaixPy Release
- MaixPy Model
- MAIX_SDK_ToolChain
- MAIX_Tools
- Libraries
- Libraries – Maix
- Libraries – Machine vision
- MicroPython Introduction
- Difference between MicroPython & CPython
- MAIX Bit_1.09(Assembly drawing).pdf
- Maix-Bit_1.09(Schematic).pdf