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