UnitV2 USB

SKU:U078-USB

Quick Start

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

Description

The UnitV2 USB is the latest high efficiency AI recognition module from M5Stack, it adopts Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) control core, 128MB-DDR3 memory and 512MB NAND Flash. It offers USB-A universal interface, which allows you to connect various UVC Cameras, Built-in 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
• USB-A universal interface, can be connected to various UVC cameras
• 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 detection
  • Support online preview, UIFlow (used as serial port json format)
  • Linux system(OpenCV, SSH, JupyterNotebook)

Include

• 1 x M5Stack UnitV2 USB
• 1 x 16g TF Card
• 1 x USB-C cable (50cm)
• 1 x bracket
• 1 x back clip

Application

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

UNIT-V2 series comparison

Specifications

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

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

Module Size