Sipeed MAIX GO Suit (MAIX GO + 2.8 inch LCD + ov2640 with
M12 lens)
SKU 110991191
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.
PRODUCT DETAILS
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 Sipeeds 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.