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.
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, color 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)
Includes
1 x UnitV2-USB
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 vision classification
Machine vision learning
Specifications
Specification
Parameter
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
