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UnitV2 M12

SKU:U078-M12

Quick Start

Description

UnitV2 is a high-efficiency AI recognition module from M5Stack, It adopts Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) control core, integrated 128MB-DDR3 memory, 512MB NAND Flash, 1080P camera. Equipped with 1x regular focal length (FOV: 85°) + 1x wide-angle fisheye lens (FOV: 150°) two M12 general specifications lenses, support manual focus adjustment. Embedded Linux operating system, integrated with rich hardware and software resources and development tools brings you a simple and efficient AI development experience right out of the box!

Product Features

  • Sigmstar SSD202D
  • Dual-core Cortex-A7 1.2GHz processor
  • 128MB DDR3
  • 512MB NAND Flash
  • GC2053 1080P Colored Sensor
  • Equipped with dual lenses: regular focal length (FOV: 85°) + wide-angle fisheye lens (FOV: 150°)
  • Built-in microphone
  • Wi-Fi 2.4GHz
  • Development method:
    • Equipped with 12 ways AI image functions: QR code, face detection, line tracking, movement, shape matching, image streaming, classification, color tracking, face recognition, target tracking, shape detection, custom object recognition
    • Support web online preview, UIFlow (used as serial port json format)
    • Linux system (OpenCV, SSH, JupyterNotebook)

Include

  • 1 x M5Stack UnitV2 M12
  • 1 x 16g TF Card
  • 1 x USB-C cable (50cm)
  • 1 x bracket
  • 1 x back clip
  • 1x regular focal length lens (FOV: 85°)
  • 1x wide angle fisheye lens (FOV: 150°)

Applications

  • AI recognition function development
  • Industrial visual recognition classification
  • 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

Specifications Parameters
Sigmstar SSD202D Dual Cortex-A7 1.2GHz Processor
Flash 512MB NAND
RAM 128MB-DDR3
Camera GC2053 1080P Colored Sensor
Lens 1x regular focal length (FOV: 85°) + 1x wide-angle fisheye lens (FOV: 150°)
Input voltage 5V @ 500mA
Hardware Peripherals TypeC x1, UART x1, TFCard x1, Button x1, Microphone x1, Built-in active cooling fan x1
Indicator light Red, White
Wi-Fi 150Mbps 2.4GHz 802.11 b/g/n
Ethernet network card SR9900
Package Size(with lens) 48 * 24 * 32mm

Driver Installation

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

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

Schematic

Out Of The Box AI Recognition Function

  • UnitV2 integrates not only the basic AI recognition developed by M5Stack, but also has built-in multiple recognition (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.Flexibly Connectable, 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 for convenient use.

  • Built-in recognition function use tutorial

  • Identify the source code of the service framework

  • Firmware update tutorial

Development Efficiency Improvement

Learn

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