• M5Stack UNIT-V2 M12 1080P AI Recognition Camera Programmable Camera Module Development Visual Module 150° Wide-angle Lens
  • M5Stack UNIT-V2 M12 1080P AI Recognition Camera Programmable Camera Module Development Visual Module 150° Wide-angle Lens
  • M5Stack UNIT-V2 M12 1080P AI Recognition Camera Programmable Camera Module Development Visual Module 150° Wide-angle Lens
  • M5Stack UNIT-V2 M12 1080P AI Recognition Camera Programmable Camera Module Development Visual Module 150° Wide-angle Lens

M5Stack UNIT-V2 M12 1080P AI Recognition Camera Programmable Camera Module Development Visual Module 150° Wide-angle Lens

Availability: In stock, usually dispatched in 1 business day

  • Price:$121.67
  • Price in reward points: 1217 Reward Points: 12
  • Quantity 3+ units 10+ units 30+ units 50+ units More
    Price /Unit $119.24 $116.80 $113.15 $108.29 Contact US
Quantity:

M5Stack UNIT-V2 M12 1080P AI Recognition Camera Programmable Camera Module Development Visual Module 150° Wide-angle Lens

Description:

- UnitV2 is a high-efficiency AI recognition module from M5Stack, It adopts for 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 fish-eye 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!

Features:
- For Sigmstar SSD202D
- Dual-core Cortex-A7 1.2GHz processor
- 128MB DDR3
- 512MB NAND Flash
- GC2145 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)
- For Linux system (OpenCV, SSH, JupyterNotebook)

Application:
- AI recognition function development
- Industrial visual recognition classification
- Machine vision learning

Specification:
- For Sigmstar SSD202D: dual Cortex-A7 1.2GHz Processor
- Flash: 512MB NAND
- RAM: 128MB-DDR3
- Camera: GC2145 1080P Colored Sensor
- Lens: 1 x regular focal length (FOV: 85°) + 1 x wide-angle fish-eye lens (FOV: 150°)
- Input voltage: 5V at 500mA
- Hardware Peripherals: Type-C x 1, UART x 1, TF Card x 1, Button x 1, Microphone x 1, Built-in active cooling fan x 1
- Indicator light: Red, White
- Wi-Fi: 150Mbps 2.4GHz 802.11 b/g/n
- Ethernet network card: SR9900

Package Included:
- 1 x M5Stack Unit V2 M12
- 1 x 16g TF Card
- 1 x USB-C Cable (50cm)
- 1 x Bracket
- 1 x Back Clip
- 1 x Regular Focal Length Lens (FOV: 85°)
- 1 x Wide Angle Fish-eye Lens (FOV: 150°)

More Details and Instructions:
- https://docs.m5stack.com/en/unit/unitv2_m12?spm=a2g0o.detail.1000023.1.3066lxkclxkcx7

Write a review

Note: We will keep it confidential.
Note: HTML is not translated!
 
Captcha