M5Stack UnitV2 M12 Version with Cameras

Description

UnitV2-M12 is a high-efficiency AI recognition module from M5Stack. It uses the SigmaStar SSD202D as the control core, integrating a dual-core Cortex-A7 1.2GHz processor, 128MB DDR3 memory, 512MB NAND Flash, and a 1080P camera.

The module is equipped with two M12 universal specification lenses: one standard focal length lens with an 85 field of view and one wide-angle fisheye lens with a 150 field of view. Both support manual focus. It runs an embedded Linux operating system and integrates rich software and hardware resources for a simple and efficient AI development experience.

Features

• SigmaStar SSD202D control core
• Dual-core Cortex-A7 1.2GHz processor
• 128MB DDR3 memory
• 512MB NAND Flash
• GC2053 1080P color sensor
• Dual M12 lenses: standard focal length 85 FOV and wide-angle fisheye 150 FOV
• Built-in microphone
• 2.4GHz Wi-Fi
• Built-in active cooling fan
• Supports web online preview
• Supports UIFlow through serial JSON format calls
• Linux environment with OpenCV, SSH, and Jupyter Notebook
• Built-in AI functions including QR code, face detection, line tracking, motion detection, shape matching, image streaming, classification, color tracking, face recognition, object tracking, shape detection, and custom object recognition

Specifications

Interface

• USB Type-C interface
• UART interface
• TFCard interface
• Button
• Microphone
• Built-in active cooling fan
• SR9900 Ethernet card

Applications

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

Product List

• 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)

Learn

• UnitV2 integrates the basic AI recognition service developed by M5Stack, with built-in recognition functions such as face recognition and object tracking.
• When connected to a PC through the Type-C interface, UnitV2 automatically establishes a network connection through its built-in wired network card.
• UnitV2 can also be connected and debugged through Wi-Fi.
• Recognition content is automatically output in JSON format through the UART serial port.

Resources

• Official Documentation
• UnitV2Framework SDK
• SR9900 Windows Driver
• SR9900 MacOS Driver
• UnitV2 Built-in Functions Video
• UnitV2 Application Scenarios Video

FAQ

What processor does UnitV2-M12 use?

It uses the SigmaStar SSD202D with a dual-core Cortex-A7 1.2GHz processor.

What lenses are included?

It includes one standard focal length lens with an 85 field of view and one wide-angle fisheye lens with a 150 field of view.

What AI functions are built in?

It includes functions such as QR code, face detection, line tracking, motion detection, shape matching, image streaming, classification, color tracking, face recognition, object tracking, shape detection, and custom object recognition.

Does UnitV2-M12 support Wi-Fi?

Yes. It supports 2.4GHz 802.11 b/g/n Wi-Fi with a 150Mbps rate.

What is included in the package?

The package includes UnitV2-M12, a 16GB microSD card, USB Type-C cable, stand, clip, standard focal length lens, and wide-angle fisheye lens.