Quick Start


UnitV2 is a high-efficiency AI recognition module launched by M5Stack, using Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) control core, integrated 128MB-DDR3 memory, 512MB NAND Flash, and 1080P camera. With embedded Linux operating system and rich software and hardware resources and development tools integrated, UnitV2 is committed to bringing users a simple and efficient AI development experience out of the box.

Best to use the original M5 data cable to connect to the computer, otherwise it may cause a crash, and the loose data cable may also cause a crash.
Edge and Chrome browsers are recommended, Firefox has a certain chance of causing it to cause a crash or the screen is not smooth.

Product Features

  • Sigmstar SSD202D
  • Dual Cortex-A7 1.2GHz Processor
  • 128MB DDR3
  • 512MB NAND Flash
  • GC2145 1080P Colored Sensor
  • Microphone
  • Wi-Fi 2.4GHz


  • 1 x M5Stack UnitV2
  • 1 x 16g TF Card
  • 1 x USB-C Cable (50cm)
  • 1 x Stand
  • 1 x Back Brick


  • AI recognition function development
  • Industrial visual identification sorting
  • Machine vision learning

UNIT-V2 series comparison

Lens equipment Normal focal length (FOV 68°) Normal focal length (FOV 85°) + wide-angle focal length (FOV: 150°) Without lens, USB-A universal interface, can be connected to various UVC cameras
CMOS GC2145 GC2053 /


Resources Parameter
Sigmstar SSD202D Dual Cortex-A7 1.2GHz Processor
Flash 512MB NAND
Camera GC2145 1080P Colored Sensor
Lens FOV 68° , DOF= 60cm- ∞
Power Input 5V @ 500mA
Peripherals TypeC x1, UART x1, TFCard x1, Button x1, Microphone x1, Fan x1
Indicator light Red, White
Wi-Fi 150Mbps 2.4GHz 802.11 b/g/n
Operating Temperature 0°C to 60°C
Net weight 18g
Product Size 48*18.5*24mm
Package Size 157*38*38mm
Case Material Plastic ( PC )

Driver Installation

Download the corresponding SR9900 driver according to the operating system used.


Extract the driver compressed package to the desktop path -> Enter the device manager and select the currently unrecognized device (named with SR9900) -> Right-click and select Custom Update -> Select the path where the compressed package is decompressed -> Click OK and wait for the update carry out.


Unzip the driver package -> double-click to open the SR9900_v1.x.pkg file -> follow the prompts and click Next to install. (The compressed package contains a detailed version of the driver installation tutorial pdf)

  • After the installation is complete, if the network card cannot be enabled normally, you can open the terminal and use the command below to re-enable the network card.
sudo ifconfig en10 down
sudo ifconfig en10 up


Out Of The Box AI Recognition Function

  • UnitV2 integrates not only the basic AI recognition service developed by M5Stack, but also has built-in multiple recognition functions (such as face recognition, object tracking and other common functions), which can quickly help users build AI recognition applications.

  • All features! Plug and play! UnitV2 has a built-in wired network card. When you connect to a PC through the TypeC interface, it will automatically establish a network connection with UnitV2. With highly free connectable style, it can also be connected and debugged via Wi-Fi.

  • UART serial port output, all identification content is automatically output in JSON format through the serial port, which is convenient to call.

  • Built-in recognition function use tutorial

  • Identify the source code of the service framework

  • Firmware update tutorial

Development Efficiency Improvement


Use the latest Linux AI smart camera UnitV2 produced by M5Stack to build a non-performing product screening function that simulates industrial application scenarios.


UnitV2 Built-in functions out of the box

UnitV2 Applications