UnitV2 M12

SKU:U078-M12

Quick Start

• Built-in recognition function tutorial
• V-Training online AI model training service
• Jupyter Notebook Development Tutorial/Example
• SSH connection & WIFI configuration
• Firmware Update Tutorial

Description

UnitV2 is a high-efficiency AI recognition module from M5Stack, It adopts 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!

Product Features

• Sigmstar SSD202D
• Dual-core Cortex-A7 1.2GHz processor
• 128MB DDR3
• 512MB NAND Flash
• GC2053 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)

Include

• 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

Driver Installation

Windows10

MacOS

• After the installation is complete, if the network card cannot be enabled normally, you can open the terminal and use the command below to re-enable the network card.

sudo ifconfig en10 down
sudo ifconfig en10 up

Schematic

Out Of The Box AI Recognition Function

• UnitV2 integrates not only the basic AI recognition developed by M5Stack, but also has built-in multiple recognition (such as face recognition, object tracking and other common functions), which can quickly help users build AI recognition applications.

• All features! Plug and play! UnitV2 has a built-in wired network card. When you connect to a PC through the TypeC interface, it will automatically establish a network connection with UnitV2.Flexibly Connectable, it can also be connected and debugged via Wi-Fi.

• UART serial port output, all identification content is automatically output in JSON format through the serial port for convenient use.

• Built-in recognition function use tutorial

• Identify the source code of the service framework

• Firmware update tutorial

Development Efficiency Improvement

• UnitV2's factory setting Linux image integrates a variety of basic peripherals and development tools (such as Jupyter Notebook etc.)

• Through SSH access, you can fully control the hardware resources of this camera

• Easily build a custom recognition model through M5Stack's V-Training (AI model training service).

• V-Training online AI model training service

• Jupyter Notebook Development Tutorial/Example

• SSH connection & WIFI configuration

Learn

Screening of defective products for M5Stack UnitV2 applications in industrial application scenarios

Screening of defective products for M5Stack UnitV2 applications in industrial application scenarios

Use the latest Linux AI smart camera UnitV2 produced by M5Stack to build a non-performing product screening function that simulates industrial application scenarios.

Video

UnitV2 Built-in functions out of the box

UnitV2 Applications