🏭 Product Inventory Location: China
- All products are tax-inclusive.
- EU Countries & US Delivery Time: 2 weeks.
- Other Countries Delivery Time: 2.5 ~ 3 weeks.
Note: All products are tax-inclusive.
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, this AI camera 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
Wi-Fi 2.4GHz
1 x M5Stack UnitV2
1 x 16g TF Card
1 x USB-C Cable (50cm)
1 x Stand
1 x Back Brick
AI recognition function development
Industrial visual identification sorting
Machine vision learning
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 | / |
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 |
Wi-Fi | 150Mbps 2.4GHz 802.11 b/g/n |
Operating Temperature | 0°C to 60°C |
Net weight | 18g |
Product Size | 48*18.5*24mm |
Package Size | 157*38*38mm |
Case Material | Plastic ( PC ) |
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