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

Documentation

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

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