M5Stack UnitV2 M12 Version with Cameras
Product Link
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
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
/
Specifications
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.
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.
Schematics
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