- PRODUCT DETAILS
PRODUCT DETAILS
Description
UnitV2 is a high-efficiency AI recognition module from M5Stack, It adopts Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) control core, integrated 128MB-DDR3 memory, 512MB NAND Flash, 1080P camera. Equipped with 1x regular focal length (FOV: 85°) + 1x wide-angle fisheye lens (FOV: 150°) two M12 general specifications lenses, support manual focus adjustment. Embedded 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
- GC2053 1080P Colored Sensor
- Equipped with dual lenses: regular focal length (FOV: 85°) + wide-angle fisheye lens (FOV: 150°)
- Built-in microphone
- 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 recognition
- Support web online preview, UIFlow (used as serial port json format)
- Linux system (OpenCV, SSH, JupyterNotebook)
Include
- 1 x M5Stack UnitV2 M12
- 1 x 16g TF Card
- 1 x USB-C cable (50cm)
- 1 x bracket
- 1 x back clip
- 1x regular focal length lens (FOV: 85°)
- 1x wide angle fisheye lens (FOV: 150°)
Applications
- 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 | / |
Specification
| Specifications | Parameters |
|---|---|
| Sigmstar SSD202D | Dual Cortex-A7 1.2GHz Processor |
| Flash | 512MB NAND |
| RAM | 128MB-DDR3 |
| Camera | GC2053 1080P Colored Sensor |
| Lens | 1x regular focal length (FOV: 85°) + 1x wide-angle fisheye lens (FOV: 150°) |
| 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 |
| Package Size(with lens） | 48 * 24 * 32mm |
LEARN AND 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.