MAIX GO Development Board AIoT Developer Kit AI IoT On-Board Debugger For Robotics Unassembled

MAIX GO Development Board AIoT Developer Kit AI IoT On-Board Debugger For Robotics Unassembled

Description:
MAIX Go is an AIoT development board based on the chip K210 (RISC-V architecture, 64-bit dual-core) design.

The development board is designed with an AI module plus a base board. With  on-board Type-C interface and USB-UART circuit, users can directly connect it to computer for development through a USB Type-C cable. It is equipped with 2MP camera, LCD, Mic, PA, Micro SD card and other interfaces, and leads all IO out, which is convenient for users to expand.

1.Thumbwheel Switch
2.1W Speaker
3.Camera
4.MEMS Mic
5.DAC + PA
6.Mic Array Interface
7.Power Management
8.USB Type-C
9.TF Card Slot
10.Lithium Battery Port (Battery is not included)

Features:
- K210: Dual-core 64-bit CPU@400MHz
- Artificial Intelligence: Robotic visual and audio solutions
- Super Computing Power: Built-in FPU, KPU and FFT

The Maix Go development board uses powerful M1W AI module as the core unit. The module has a built-in 64-bit dual-core processor chip, and has 8M of on-chip SRAM. It has outstanding performance in AI machine vision and hearing performance. With built-in various hardware acceleration units (KPU, FPU, FFT, etc.) with a total computing power of 1TOPS, it can implement machine vision / hearing algorithms for various application scenarios, and can also perform pre-processing of voice direction scanning and voice data transmission.

Basic Parameters of K210 Chip:
- Core: RISC-V Dual Core 64bit, with FPU
- Main Frequency: 400MHz (Can be overclocked to 600MHz)
- SRAM: Built-in 8M Byte
- Image Identification: QVGA@60fps/VGA@30fps
- Speech Recognition: Mic array (8 mics)
- Network Models: Support for YOLOv3/Mobilenetv2/TinyYOLOv2/human face recognition and the like
- Deep Learning Framework: Support for TensorFlow, Keras, Darknet, Caffe, and other mainstream frameworks
- Peripherals: FPIOA, UART, GPIO, SPI, I2C,I2S, TIMER
- Video Processing:
  KPU: Neural network processor
  FPU in line with IEEE754-2008 standard  
  APU: Audio processor
  FFT: Fast Fourier transformation accelerator

Parameters of Development Board:
- On-Board Resources:
  RGB Light*1
  USB to ISP Download (with JTAG function)
  3-Axis acceleration * 1
- On-Board Interfaces:
  USB Type-C port
  DVP camera port
  LCD port
  Micro SD card slot
  Audio port (Support external 2*3W loudspeakers)
  All IO pins are lead-out
- Size: 60*88mm
- Power Supply Voltage: 5.0Vz@300mA (Power supply current larger than 300mA)
- Operating Temperature: -30℃ to 85℃

Software Development:
- Chip Operation Systems: For FreeRTOS, RT-Thread and the like
- Development Environments: For MaixPy IDE, PlatformIO IDE, Arduino IDE and so on
- Programming Languages: For C, C++, MicroPython  

Applications:
The AI module provides a single-module system-level solution for robotic vision and hearing products, and users can quickly implement similar functions for face recognition.

It is popular with game players, software engineers, and electronic DIY lovers. It is widely used in commercial field, especially in scenes where a combination of machine vision and hearing is required.

- For smart robots
- For attendance and access control
- For self-driving
- For IoT
- For smart wearing
- For passenger flow statistics

For More Information:
MAIX GO Assembling Video: https://www.bilibili.com/video/av41033435
Wiki: maixpy.sipeed.com
Download materials: http://cn.dl.sipeed.com/MAIX
Github: https://github.com/sipeed
Model platform:www.maixhub.com

Package Included:
- 1 x Main Board
- 1 x Display Screen
- 1 x Antenna
- 1 x Bag of Fixing Accessories
- 1 x Camera
- 1 x Screwdriver
- 1 x Shell
- 1 x Type-C Cable

Note:
- It is unfinished and assembling is needed.
- Battery is not included in the package.