ماژول توسعه هوش مصنوعی SIPEED M1 MAIX K210
1. Tutorial & Quick Start
MaixPy
2 Description
The MAIX Dock development board, part of SiPEED’s MAIX product line, is an AIOT development board designed based on Canaan Technology’s K210 edge intelligent computing chip (RISC-V architecture, 64-bit dual-core). Its streamlined design is compact and features an onboard Type-C port and USB-UART circuitry, allowing users to connect directly to a computer via a USB Type-C cable for development. It also features interfaces for 128Mbit Flash, LCD, DVP, and a Micro SD card, with all I/O pins exposed for easy expansion.
It can be turned on by powering on, no power-on operation is required
3. Appearance
4. Features
MaixDock is developed with the powerful M1W AI module as its core unit. Featuring a built-in 64-bit dual-core processor chip and 8MB of on-chip SRAM, the module excels in AI machine vision and audio performance. Built-in multiple hardware acceleration units (KPU, FPU, FFT, etc.), it boasts a total computing power of up to 1TOPS. This allows for the easy implementation of machine vision and audio algorithms for a wide range of application scenarios, as well as pre-processing for speech direction scanning and speech data output.
5. Application
Smart home, robot cleaners, smart speakers, electronic door locks, home monitoring, etc.;medical industry applications, such as auxiliary diagnosis, medical image recognition;intelligent industrial applications, such as industrial machinery, intelligent sorting, electrical equipment monitoring, etc.;educational applications such as educational robots, intelligent interactive platforms, and educational efficiency inspections;agricultural applications, such as agricultural monitoring, pest and disease monitoring, and automatic control, etc.
6. Parameters
K210 chip basic parameters
kernel
RISC-V Dual Core 64bit, with FPU
Main frequency
400MHz (overclockable to 600MHz)
SRAM
Built-in 8M Byte
Image Recognition
QVGA@60fps/VGA@30fps
Speech Recognition
Microphone array (8mics)
Network Model
Support for YOLOv3
Mobilenetv2
TinyYOLOv2
Face recognition, etc.
Deep Learning Framework
Supports mainstream frameworks such as TensorFlow Keras Darknet Caffe
Peripherals
FPIOA, UART, GPIO, SPI, I2C, I2S, TIMER
Video Processing
Neural Network Processing Unit (KPU)
FPU complies with IEEE754-2008 standard
Audio Processing Unit (APU)
Fast Fourier Transform Accelerator (FFT)
Development board parameters
Onboard resources
Button*2
RGB light*1
MEMS Microphone*1
USB to UART
128Mbit Flash*1
Onboard interfaces
USB Type-C port
24-pin DVP camera interface
24-pin LCD interface
MicroSD card slot
Audio interface (supports external 2x3W speakers)
All IO pin headers are lead out
size
52.3*37.3mm
Supply voltage
5.0V @ 300mA (supply current must be greater than 300mA)
Operating temperature
-30℃ ~85C
Software Development
Chip operating system
FreeRTOS, RT-Thread, etc.
Development Environment
MaixPy IDE, PlatformlO IDE, Arduino IDE, etc.
programming language
C, C++, MicroPython
7. Information
Sipeed-Maix-Dock Download: Sipeed-Maix-Dock
Download Sipeed-Maix-Dock datasheet: Sipeed-Maix-Dock
Sipeed-Maix-Dock schematic download: Sipeed-Maix-Dock
8. Software Development
MaixPy : MicroPython language development
C language SDK: kendryte-standalone-sdk
IX. Product Technical Support
The Maix series of products can meet diverse customer needs in a variety of scenarios and are already widely used in the AIoT. Their quality and performance have earned an excellent reputation within the industry. Our dedicated technical team helps customers solve a wide range of hardware design and software issues. For professional technical support and more detailed information, please contact support@sipeed.com
نقد و بررسی وجود ندارد.