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.

Product Features

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


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


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


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
WiFi 150Mbps 2.4GHz 802.11 b/g/n
Operating Temperature 0°C to 60°C
Net weight 18g
Gross weight 62g
Product Size 48*18.5*24mm
Package Size 157*38*38mm
Case Material Plastic ( PC )


Driver Installation

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.

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 WiFi.

  • 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


UnitV2 Built-in functions out of the box

UnitV2 Applications