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Current Product Don't Have Test Firmware

Note: pls, use PC chrome/edge browser, if can't connect, refresh the webpage.

1. Click connect button

2. After connected successfully, pick a firmware

3. Click the burn button

4. After burning successfully, Unplug the device and restart.

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CONTENTS

UnitV2

SKU:U078-D

Quick Start

Description

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
  • Wi-Fi 2.4GHz

Include

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

Applications

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

UNIT-V2 series comparison

Spec UNIT-V2 UNIT-V2 M12 UNIT-V2 USB
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 /

Specification

Resources Parameter
Sigmstar SSD202D Dual Cortex-A7 1.2GHz Processor
Flash 512MB NAND
RAM 128MB-DDR3
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
Gross weight 62g
Product Size 48*18.5*24mm
Package Size 157*38*38mm
Case Material Plastic ( PC )

Schematic

Driver Installation

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

Windows10

MacOS

Windows10

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.

MacOS

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

Learn

Screening of defective products for M5Stack UnitV2 applications in industrial application scenarios Screening of defective products for M5Stack UnitV2 applications in industrial application scenarios
Screening of defective products for M5Stack UnitV2 applications in industrial application scenarios
Use the latest Linux AI smart camera UnitV2 produced by M5Stack to build a non-performing product screening function that simulates industrial application scenarios.

Video

UnitV2 Built-in functions out of the box

UnitV2 Applications