Sipeed MAix Go have on board JTAG&UART based on STM32F103C8, I2S Mic, Speaker, RGB LED, Mic array connector, thumbwheel, TF card Slot and lithium battery manager chip with power path management function, all pins out, with standard M12 lens DVP camera.
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:
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 Go development kit
MAix Go is bigger and better than M1 Dock.
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.
|FreeRtos & Standard SDK||Support FreeRtos and Standrad development kit.|
|MicroPython Support||Support MicroPython on M1|
|Machine vision||Machine vision based on convolutional neural network|
|Speech Recognition||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℃|
|MCU : ESP8285||Tensilica L106 32-bit MCU|
|Wireless Standard||802.11 b/g/n|
|Frequency Range||2400Mhz - 2483.5Mhz|
|TX Power(Conduction test)||802.11.b : +15dBm
802.11.g : +10dBm(54Mbps)
802.11.n : +10dBm (65Mbps)
|Antenna Connector||IPEX 3.0x3.0mm|
|Sipeed MAIX GO dev. board||1|
|2.8inch touch LCD||1|
|OV2640 with M12 4mm lens||1|
|Type-C USB cable||1|
Hi there~, Sorry for the inconvenience, We will modify the links by tomorrow. Thanks.
Hi David, this product is pre-ordor now. The Estimated avaiability Date is Mar 28, 2019. We will ship it then. Thanks for your patience.