M5Stack UnitV2 – The standalone AI Camera for Edge Computing (SSD202D) TinyML
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 | 0°C to 60°C |
| Net weight | 18g |
| Gross weight | 62g |
| Product Size | 48*18.5*24mm |
| Package Size | 157*38*38mm |
| Case Material | Plastic ( PC ) |
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