M5Stack UnitV2 M12 Version with Cameras


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!

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)

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

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Specifications

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

product Size(with lens)

48 * 24 * 32mm

Package Size

122 * 37 * 44mm

Driver Installation

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

Driver Name
Download Link

SR9900_Windows

SR9900_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

Schematics

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