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M5Stack UnitV2 USB Version without Camera
USD 65.00
M
m5stack-store.myshopify.com
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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 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 Package Size 146.0 x 44.0 x 37.0mm Gross Weight 54.8g Product Comparison Specification UnitV2 UnitV2-M12 UnitV2-USB Lens Configuration Standard focal length (FOV 68°) Standard focal length (FOV 85°) + Wide-angle focal length (FOV 150°) No lens, USB-A universal interface, supports connection to various UVC cameras CMOS GC2145 GC2053 / Learn and Documents → DOCUMENTS