Description
The UnitV2 USB is the latest high efficiency AI recognition module from M5Stack, it adopts Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) control core, 128MB-DDR3 memory and 512MB NAND Flash. It offers USB-A universal interface, which allows you to connect various UVC Cameras, Built-in Linux operating system, integrated with rich hardware and software resources and development tools brings you a simple and efficient AI development experience right out of the box!
Product Features
- Sigmstar SSD202D
- Dual-core Cortex-A7 1.2GHz processor
- 128MB DDR3
- 512MB NAND Flash
- USB-A universal interface, can be connected to various UVC cameras
- Wi-Fi 2.4GHz
- Development method:
- Equipped with 12 ways AI image functions: QR code, face detection, line tracking, movement, shape matching, image streaming, classification, color tracking, face recognition, target tracking, shape detection, custom object detection
- Support online preview, UIFlow (used as serial port json format)
- Linux system(OpenCV, SSH, JupyterNotebook)
Include
- 1 x M5Stack UnitV2 USB
- 1 x 16g TF Card
- 1 x USB-C cable (50cm)
- 1 x bracket
- 1 x back clip


Application
- AI recognition function development
- Industrial visual recognition classification
- Machine vision learning
UNIT-V2 series comparison
Spec |
UNIT-V2 |
UNIT-V2 M12 |
UNIT-V2 USB |
Lens equipment |
Normal focal length (FOV 68°) |
Normal focal length (FOV 85°) + wide-angle focal length (FOV: 150°) |
Without lens, USB-A universal interface, can be connected to various UVC cameras |
CMOS |
GC2145 |
GC2053 |
/ |
Specifications
Specifications |
Parameters |
Sigmstar SSD202D |
Dual Cortex-A7 1.2GHz Processor |
Flash |
512MB NAND |
RAM |
128MB-DDR3 |
Camera |
Not equipped with a lens, USB-A universal interface, can be connected to various UVC cameras |
Input voltage |
5V @ 500mA |
Hardware Peripherals |
TypeC x1, UART x1, TFCard x1, Button x1, Microphone x1, Built-in active cooling fan x1 |
Indicator light |
Red, White |
Wi-Fi |
150Mbps 2.4GHz 802.11 b/g/n |
Ethernet network card |
SR9900 |
LEARN AND DOCUMENTS
DOCUMENTS
Screening of defective products for M5Stack UnitV2 applications in industrial application scenarios
Screening of defective products for M5Stack UnitV2 applications in industrial application scenarios
Use the latest Linux AI smart camera UnitV2 produced by M5Stack to build a non-performing product screening function that simulates industrial application scenarios.