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Cameras

M5Stack UnitV2 M12 Version with Cameras

M5Stack UnitV2 M12 Version with Cameras - UnitV2 is a high-efficiency Ai recognition module from M5Stack 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

We no longer stock this product

It's sad to say goodbye but sometimes we have to retire products to make way for new things.

You may still be able to buy this product directly from our friends at M5Stack - check out their website!

UnitV2 is a high-efficiency Ai recognition module from M5Stack

It uses the 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
  • 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, 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)

Includes

  • 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

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

Documentation

For quick start guides, schematics, and driver downloads check out the M5Stack doc page

Guides & tutorials

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Unit 1, Parkway Business Park, Parkway Drive, Sheffield, S9 4WN, United Kingdom
Registered in England and Wales Company №: 07510759 VAT Reg №: GB140870721
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