UnitV2 is a high-efficiency AI Camera module, the first M5Stack product that runs on the Linux operating system. The standalone device adopts SigmaStar SSD202D (ARM Cortex-A7 dual-core 1.2GHz) as the core, embedded 128MB DDR3 memory, with 512MB NAND Flash, 1080P camera, 2.4G Wi-Fi and 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.
Out Of The Box AI Applications
UnitV2 integrates multiple ready-to-use AI recognition applications developed by M5Stack (such as Face Recognition, Object Tracking, Color Tracker, Shape Detector, Barcode Detector and other popular functions), which can help users to build your own AI applications quickly.
Standalone! Plug and play! UnitV2 has a built-in USB LAN. When connecting to PC through USB-C interface, it will automatically establish a network connection with UnitV2. With highly free connectable style, it can also be connected and debugged via Wi-Fi.
UART serial port communication, all identification content is automatically output in JSON format through the serial port, which is convenient to call.
Efficient To Develop
- Based on the Linux system, and the variety of peripherals, UnitV2 is compatible with different development tools.
- Through SSH Access, you can fully control the hardware resources.
- Easily build a custom recognition model through M5Stack’s V-Training (AI model training service).
Read more: M5STACK UNITV2 – THE STANDALONE AI CAMERA FOR EDGE COMPUTING (SSD202D)
