M5Stack UnitV2 M12 Version with Cameras

The UnitV2 is a high-efficiency Ai recognition module from M5Stack which adopts a Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) control core, integrated 128MB-DDR3 memory, 512MB NAND Flash and 1080P camera. The unit is equipped with 1x regular focal length (FOV: 85°) and 1x wide-angle fisheye lens (FOV: 150°) which support manual focus adjustment. With its embedded Linux operating system integrated with rich hardware/software resources and development tools, the UnitV2 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

* GC2145 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, colour 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)

Package Contents

* 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

UNIT-V2 UNIT-V2 M12 UNIT-V2 USB

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

Specification

Specifications Parameters

Sigmstar SSD202D Dual Cortex-A7 1.2GHz Processor

Flash 512MB NAND

RAM 128MB-DDR3

Camera GC2145 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

Resources

* Documentation available here

* Built-in recognition function tutorial

* V-Training online AI model training service

* Jupyter Notebook Development Tutorial/Example

* SSH connection & WIFI configuration

* Firmware Update Tutorial