Feature

●-Maix Cube module incorporates a 64-bit K210 dual core processor chip and is equipped with 8M on-chip SRAM This is the convenience of Al machine vision and hearing performance
●- Supports deep learning framework tflite, ONNX, paddle model conversion
●-Maix Cube incorporates multiple hardware acceleration units (such as KPU, FPU, FFT, etc) with total calculation capabilities up to 1 TOPS, making it easy to implement machine vision/hearing algorithms in a variety of application scenarios. Voice scanning and audio data output. Set up the processing work
●- Users can easily use MicroPython syntax to start AloT development quickly and develop a wide variety of Al applications including image recognition, face recognition, and object classification. At the same time, there is a rich development and debug interface to make the user freely DIY
●-[Wiki] link https://youyeetoo.com/blog/sipeed-maixcube-75 for more information on document code. Please contact our technical support team meiqiao@smartfire.cn for any technical problems after purchase. Or click "SmartFlytech" to ask


Description

Overview:

The MaixPy is a development kit designed to simplify AIOT application programming and is based on a powerful, low-cost dual-core RISC-V chip with hardware AI acceleration. Verify and develop high-speed AIOT applications Not only does it support traditional MCU functions, but it is also excellent for machine vision and machine hearing, such as face recognition, object recognition, and microphone array applications.

Development Environment:

MaixPy firmware is written on the development board by default (firmware source code is open source and can be downloaded from github). MaixPy has developed a variety of functions libraries that can be called directly by the developer. Maix series products are made using MaixPyIDE developed by the Sipeed team. The software is free to install and ready to use after downloading. MaixPy uses Micropython script syntom, which allows developers to edit scripts on their computer in real time and upload them to the development board and execute scripts directly on the development board. In addition, the IDE displays camera images in real time, making files development board and development very convenient.

-On-board peripherals-

3 x Buttons

Camera x 1

2 x RGB LED

1.3" TFT Screen

1 x Electret Microphone

1 x 128M bit flash

Accelerometer x 1

-Onboard Interface-

USB Type-C interface

Audio interface (support external speaker)

TF card slot

Grove Standard Interface

SP-MOD interface (support SP-MOD interface module)

Power supply: USB-Type-C / Built-in lithium battery (200 mAh).

-Software Development-

Operating System: FreeRTOS, Linux

Face Recognition: Up to 98% recognition accuracy

Development environment: MaixPy IDE, PlatformlIO IDE, ArduinoIDE, etc.

Programming Languages: C, C++, MicroPython

-Application-

Face Detection

Object Recognition

FFT Spectrum Analysis

Game simulation

- In the box -

1 x Sipeed Maix Cube Kit - All in One

Technical Support:

Wiki: http://bbs.sipeed.com

Github: https://github.com/lichee-pi

Technical Team: meiqiao@smartfire.cn Skype:live:meiqiao_1