




RLX COMPONENTS s.r.o. , Electronic Components Distributor.
RLX COMPONENTS s.r.o. , Electronic Components Distributor.
This is where are our product comes in, MAix is Sipeed’s purpose-built module designed to run AI in these conditions. We called it AIoT, it delivers high performance in a small footprint and has a low-power consumption. This enables the deployment of high-accuracy AI and the competitive pricing makes it possible to embed any IoT devices.
As you see, Sipeed MAIX is quite like Google edge TPU, but it act as master controller, not an accelerator like Google edge TPU, so it is less costly and uses lower power than AP+edge TPU solution.
MAix's Advantage and Usage Scenarios:
Features
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 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 |
MAix's CPU
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.
MAix's SoftWare
MAIX support original standalone SDK, FreeRTOS SDK base on C/C++.
And we ported micropython on it: https://maixpy.sipeed.com/en/ It support FPIOA, GPIO, TIMER, PWM, Flash, OV2640, LCD, etc. And it has zmodem, vi, SPIFFS on it, you can edit python directly or sz/rz file to board. We are glad to see you contribute to 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!
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℃ |
Documentation: