M5Stack UnitV2 M12 Version with Cameras

2021-11-05T16:05:33+00:00

Type: Development Boards
Price: 91.20

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