M5Stack UnitV2 - USB Version without Camera

The M5Stack UnitV2-USB is a compact AI recognition module with a dual-core Cortex-A7 processor, built-in Linux, and USB camera support, enabling straightforward, out-of-the-box AI development.

The M5Stack UnitV2-USB is a high-efficiency AI recognition module launched by M5Stack, powered by the Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) as the control core, with 128MB DDR3 memory and 512MB NAND Flash. It provides a USB Type-A universal interface to connect a variety of UVC cameras, comes with a built-in Linux operating system, and integrates rich software and hardware resources as well as development tools. It is designed to offer users an out-of-the-box, simple, and efficient AI development experience. We also stock the camera version of this which you can grab here: M5Stack UnitV2 M12 Version with Cameras. Features

* Sigmstar SSD202D

* Dual-core Cortex-A7 1.2GHz processor

* 128MB DDR3

* 512MB NAND Flash

* USB-A universal interface, supports connection to various UVC cameras

* Wi-Fi 2.4GHz

* Development methods:

* Comes with 12 commonly used AI image functions: QR code, face detection, line following, motion detection, template matching, image streaming, classification, colour tracking, face recognition, object tracking, contour detection, custom object recognition

* Supports web online preview, UiFlow (for serial port JSON format calls)

* Linux environment (OpenCV, SSH, JupyterNotebook)

Specifications

Sigmstar SSD202D Dual Cortex-A7 1.2GHz Processor

Flash 512MB NAND

RAM 128MB-DDR3

Camera No lens, USB-A universal interface, supports connection to various UVC cameras

Input Voltage 5V @ 500mA

Hardware Type-C x1, UART x1, TFCard x1, Button x1, Microphone x1, built-in active cooling fan x1

LED Indicator Red, White

Wi-Fi 150Mbps 2.4GHz 802.11 b/g/n

Ethernet Card SR9900

Product Size 48.0 x 24.0 x 24.2mm

Product Weight 20.0g

Resources

* Product documentation

Package Contents

* 1x M5Stack UnitV2 USB Version without Camera

* 1x UnitV2-USB

* 1x 16GB microSD Card

* 1x USB Type-C Cable (50cm)

* 1x Stand

* 1x Back Clip