M5Stack UnitV2 M12 Version with Cameras M5Stack UnitV2 M12 Version with Cameras M5Stack UnitV2 M12 Version with Cameras M5Stack UnitV2 M12 Version with Cameras M5Stack UnitV2 M12 Version with Cameras M5Stack UnitV2 M12 Version with Cameras M5Stack UnitV2 M12 Version with Cameras M5Stack UnitV2 M12 Version with Cameras M5Stack UnitV2 M12 Version with Cameras M5Stack UnitV2 M12 Version with Cameras M5Stack UnitV2 M12 Version with Cameras M5Stack UnitV2 M12 Version with Cameras
  • M5Stack UnitV2 M12 Version with Cameras
  • M5Stack UnitV2 M12 Version with Cameras
  • M5Stack UnitV2 M12 Version with Cameras
  • M5Stack UnitV2 M12 Version with Cameras
  • M5Stack UnitV2 M12 Version with Cameras
  • M5Stack UnitV2 M12 Version with Cameras
  • M5Stack UnitV2 M12 Version with Cameras
  • M5Stack UnitV2 M12 Version with Cameras
  • M5Stack UnitV2 M12 Version with Cameras
  • M5Stack UnitV2 M12 Version with Cameras
  • M5Stack UnitV2 M12 Version with Cameras
  • M5Stack UnitV2 M12 Version with Cameras

M5Stack UnitV2 M12 Version with Cameras

SKU:U078-M12

Regular price $95.00

10+ In Stock

Shipping calculated at checkout.

Description

UnitV2-M12 is a high-efficiency AI recognition module launched by M5Stack, featuring the Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) as the control core, integrated 128MB-DDR3 memory, 512MB NAND Flash, and a 1080P camera. It is equipped with 1x standard focal length (FOV:85°) + 1x wide-angle fisheye lens (FOV:150°) two M12 universal specification lenses, supporting manual focus. It comes with an embedded Linux operating system, integrated with rich software and hardware resources and development tools, aiming to provide users with an out-of-the-box, simple and efficient AI development experience.

Features

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

Includes

  • 1 x UnitV2-M12
  • 1 x 16GB microSD card
  • 1 x USB Type-C cable (50cm)
  • 1 x Stand
  • 1 x Clip
  • 1 x Standard focal length lens (FOV:85°)
  • 1 x Wide-angle fisheye lens (FOV:150°)

Applications

  • AI recognition function development
  • Industrial visual recognition and classification
  • Machine vision learning

Specifications

Specification Parameter
Sigmstar SSD202D Dual Cortex-A7 1.2GHz Processor
Flash 512MB NAND
RAM 128MB-DDR3
Camera GC2053 1080P Colored Sensor
Lens 1x Standard Focal Length (FOV:85°) + 1x Wide-Angle Fisheye Lens (FOV:150°)
Input Voltage 5V@500mA
Hardware Peripherals USB Type-C 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 Card SR9900
Product Size (with Lens) 48.0 x 24.0 x 32.0mm
Product Weight 26.5g
Package Size 147.0 x 45.0 x 39.0mm
Gross Weight 77.9g

Product Comparison

Specification UnitV2 UnitV2 UnitV2-M12 UnitV2-M12 UnitV2-USB UnitV2-USB
Lens Configuration Standard focal length (FOV 68°) Standard focal length (FOV 85°) + Wide-angle focal length (FOV 150°) No lens, USB-A universal interface, supports connection to various UVC cameras
CMOS GC2145 GC2053 /

LEARN AND DOCUMENTS

DOCUMENTS

Customer Reviews

Based on 4 reviews
75%
(3)
25%
(1)
0%
(0)
0%
(0)
0%
(0)
H
HINH NGUYEN XUAN
M5 UnitV2

Good

อนุวัฒน์ แสงกุดเรือ

M5Stack UnitV2 M12 Version with Cameras

A
Arno
easily usable with Uiflow

The possibilities are numerous with the UNIT V2

F
Fernando Santomauro

M5Stack UnitV2 M12 Version with Cameras