Description
Description:
UnitV2 is a high-efficiency AI recognition module launched by M5Stack, using Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2Ghz processor) control core, integrated 128MB-DDR3 memory, 512MB NAND Flash, and 1080P camera. With embedded Linux operating system and rich software and hardware resources and development tools integrated, UnitV2 is committed to bringing users a simple and efficient AI development experience out of the box.
Product Features:
Sigmstar SSD202DDual Cortex-A7 1.2Ghz Processor128MB DDR3512MB NAND FlashGC2145 1080P Colored SensorMicrophoneWiFi 2.4GHz
Package Included:
1 x M5Stack UnitV21 x USB-C Cabel (50cm)1 x Stand1 x Back Brick
Applications:
AI recognition function developmentIndustrial visual identification sortingMachine vision learning
Specification:
ResourcesParameterSigmstar SSD202DDual Cortex-A7 1.2Ghz ProcessorFlash512MB NANDRAM128MB-DDR3CameraGC2145 1080P Colored SensorLensFOV 68° , DOF= 60cm- ?Power Input5V @ 500mAPeripheralsTypeC x1, UART x1, TFCard x1, Button x1, Microphone x1, Fan x1Indicator lightRed, WhileWiFi150Mbps 2.4GHz 802.11 b/g/nOperating Temperature32°F to 104°F ( 0°C to 40°C )Net weight18gGross weight62gProduct Size48*18.5*24mmPackage Size157*38*38mmCase MaterialPlastic ( PC )
Quick Start:
Out Of The Box AI Recognition FunctionUnitV2 integrates not only the basic AI recognition service developed by M5Stack, but also has built-in multiple recognition functions (such as face recognition, object tracking and other common functions), which can quickly help users build AI recognition applications.
All features! Plug and play! UnitV2 has a built-in wired network card. When you connect to a PC through the TypeC interface, it will automatically establish a network connection with UnitV2. With highly free connectable style, it can also be connected and debugged via WiFi.
UART serial port output, all identification content is automatically output in JSON format through the serial port, which is convenient to call.
Built-in recognition function use tutorial
Development Efficiency ImprovementUnitV2's factory Linux image integrates a variety of basic peripherals and development tools (such as Jupter Notebook etc.)
Through SSH access, you can fully control the hardware resources of this camera
Easily build a custom recognition model through M5Stack's V-Training (AI model training service).
Jupyter Notebook Development Tutorial/Example
