UnitV2

SKU:U078-D

Description

UnitV2 is a high-efficiency AI recognition module launched by M5Stack, featuring the Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) as the control core, integrated with 128MB DDR3 memory, 512MB NAND Flash, and a 1080P camera. It comes with an embedded Linux operating system, rich software and hardware resources, and development tools, aiming to provide users with a plug-and-play, simple, and efficient AI development experience.

Note

Features

• Sigmstar SSD202D
• Dual-core Cortex-A7 1.2GHz processor
• 128MB DDR3
• 512MB NAND Flash
• GC2145 1080P Colored Sensor
• Built-in microphone
• Wi-Fi 2.4GHz

Includes

• 1 x UnitV2
• 1 x 16GB microSD card
• 1 x USB Type-C cable (50cm)
• 1 x Stand
• 1 x Back clip

Applications

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

Specifications

| Net Weight | 18g | | Gross Weight | 62g | | Product Size | 48 x 18.5 x 24mm | | Package Size | 157 x 38 x 38mm | | Shell Material | Plastic (PC) |

Schematics

Model Size

Softwares

Quick Start

• UnitV2 integrates a basic AI recognition service developed by M5Stack, with built-in multiple recognition functions (such as face recognition, object tracking, etc.), which can quickly help users build AI recognition applications.

• All functions! Plug and play! UnitV2 has a built-in wired network card. When you connect it to a PC via the Type-C interface, it will automatically establish a network connection with UnitV2. It can also be connected and debugged via Wi-Fi, offering high flexibility.

• UART serial output, all recognition content is automatically output in JSON format, making it easy to call.

• Built-in Recognition Function Tutorial

• V-Training Online AI Model Training Service

• Jupyter Notebook Development Tutorial/Example

• SSH Connection & WIFI Configuration

• Firmware Update Tutorial

SDK

• UnitV2Framework

USB Driver

For Windows10

• Extract the driver package to the desktop path -> Go to Device Manager and select the currently unrecognized device (named USB 10/100 LAN or containing SR9900) -> Right-click and select custom update -> Select the path where the package was extracted -> Click confirm and wait for the update to complete.

For MacOS

• Extract the driver package -> Double-click to open the SR9900_v1.x.pkg file -> Follow the prompts to install. (The package includes a detailed PDF guide for driver installation.)

• After installation, if the network card does not work properly, you can open the terminal and use the following commands to re-enable the network card.

sudo ifconfig en10 down
sudo ifconfig en10 up

Other

Object Detection using M5Stack UnitV2 and Edge Impulse

Object Detection using M5Stack UnitV2 and Edge Impulse

Use the latest Linux AI smart camera UnitV2 from M5Stack to build a simulated industrial application scenario for defective product screening.

Video

UnitV2 Built-in Functions Unboxing and Usage

UnitV2 Application Scenarios

Product Comparison