UnitV2: Standalone AI Camera for Edge Computing (SSD202D)

UnitV2 is a high-efficiency AI camera module, the first M5Stack product that runs on the Linux operating system. The standalone device features SigmaStar SSD202D (Arm® Cortex®-A7 dual-core 1.2 GHz) as the core, 128 MB DDR3 embedded memory with 512 MB NAND Flash, 1080P camera, 2.4 G Wi-Fi, and a cooling fan. With rich software applications, hardware resources, and easy development tools, UnitV2 is committed to bringing users a simple and efficient AI development experience out of the box.

UnitV2 integrates multiple ready-to-use AI recognition applications (such as face recognition, object tracking, color tracker, shape detector, barcode detector, and other popular functions) developed by M5Stack to help users build their own AI applications quickly.

UnitV2 is a standalone, plug-and-play device with a built-in USB LAN. When connecting to a PC through a USB-C® interface, it will automatically establish a network connection with UnitV2. With a highly free connectable style, it can be connected and debugged via Wi-Fi. It also has UART serial port communication, meaning all identification content is automatically output in JSON format through the serial port, making it convenient to call.

Based on the Linux system and a variety of peripherals, UnitV2 is compatible with different development tools. Through SSH Access, users can fully control the hardware resources, and it is easy to build a custom recognition model through M5Stack's V-Training (AI model training service).

The M5Stack team will add more functions through upcoming versions of firmware. Users can easily upgrade the device through a TF card.