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M5Stack UnitV2 - Standalone AI Camera for Edge Computing (SSD202D) TinyML

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M5Stack UnitV2 - Standalone AI Camera for Edge Computing (SSD202D) TinyML

The 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 its 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.

Features

  • Sigmstar SSD202D
  • Dual Cortex-A7 1.2Ghz Processor
  • 128MB DDR3
  • 512MB NAND Flash
  • GC2145 1080P Colored Sensor
  • Microphone
  • WiFi 2.4GHz

Package Contents

  • 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 )

Resources

  • Documentation available here
  • The 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 its 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.

    Features

    • Sigmstar SSD202D
    • Dual Cortex-A7 1.2Ghz Processor
    • 128MB DDR3
    • 512MB NAND Flash
    • GC2145 1080P Colored Sensor
    • Microphone
    • WiFi 2.4GHz

    Package Contents

    • 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 )

    Resources

  • Documentation available here
  • $25.20

    Original: $72.00

    -65%
    M5Stack UnitV2 - Standalone AI Camera for Edge Computing (SSD202D) TinyML

    $72.00

    $25.20

    Description

    The 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 its 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.

    Features

    • Sigmstar SSD202D
    • Dual Cortex-A7 1.2Ghz Processor
    • 128MB DDR3
    • 512MB NAND Flash
    • GC2145 1080P Colored Sensor
    • Microphone
    • WiFi 2.4GHz

    Package Contents

    • 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 )

    Resources

  • Documentation available here
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