UnitV2
Quick Start
- Built-in recognition function use tutorial
- V-Training online AI model training service
- Jupyter Notebook Development Tutorial/SSH/Example
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 SSD202D
- Dual Cortex-A7 1.2Ghz Processor
- 128MB DDR3
- 512MB NAND Flash
- GC2145 1080P Colored Sensor
- Microphone
- WiFi 2.4GHz
Include
- 1 x M5Stack UnitV2
- 1 x 16g TF Card
- 1 x USB-C Cabel (50cm)
- 1 x Stand
- 1 x Back Brick
Applications
- AI recognition function development
- Industrial visual identification sorting
- Machine vision learning
Specification
| Resources | Parameter |
|---|---|
| Sigmstar SSD202D | Dual Cortex-A7 1.2Ghz Processor |
| Flash | 512MB NAND |
| RAM | 128MB-DDR3 |
| Camera | GC2145 1080P Colored Sensor |
| Lens | FOV 68° , DOF= 60cm- ∞ |
| Power Input | 5V @ 500mA |
| Peripherals | TypeC x1, UART x1, TFCard x1, Button x1, Microphone x1, Fan x1 |
| Indicator light | Red, White |
| WiFi | 150Mbps 2.4GHz 802.11 b/g/n |
| Operating Temperature | 32°F to 104°F ( 0°C to 40°C ) |
| Net weight | 18g |
| Gross weight | 62g |
| Product Size | 48*18.5*24mm |
| Package Size | 157*38*38mm |
| Case Material | Plastic ( PC ) |
Driver Installation
Extract the driver compressed package to the desktop path -> Enter the device manager and select the currently unrecognized device (named with SR9900) -> Right-click and select Custom Update -> Select the path where the compressed package is decompressed -> Click OK and wait for the update carry out.
Related Link
Out Of The Box AI Recognition Function
UnitV2 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
JSONformat through the serial port, which is convenient to call.
Development Efficiency Improvement
UnitV2's factory Linux image integrates a variety of basic peripherals and development tools (such as Jupyter 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).
Video
UnitV2 Built-in functions out of the box
UnitV2 Applications