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

Specification

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