Description

UnitV2-M12 is a high-efficiency AI recognition module launched by M5Stack, featuring the SigmaStar 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

• SigmaStar 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