Nicla Vision

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Nicla Vision allows you to build your next smart project. Ever wanted an automated house? Or a smart garden? Well, now it’s easy with the Arduino IoT Cloud compatible boards. It means: you can connect devices, visualize data, control and share your projects from anywhere in the world. Whether you’re a beginner or a pro, we have a wide range of plans to make sure you get the features you need.

Nicla Vision combines a powerful STM32H747AII6 Dual ARM® Cortex® M7/M4 IC processor with a 2MP color camera that supports TinyML, as well as a smart 6-axis motion sensor, integrated microphone and distance sensor.

You can easily include it into any project because it’s designed to be compatible with all Arduino Portenta and MKR products, fully integrates with OpenMV, supports MicroPython and also offers both WiFi and Bluetooth® Low Energy connectivity. It’s so compact – with its 22.86 x 22.86 mm form factor – it can physically fit into most scenarios, and requires so little energy it can be powered by battery for standalone applications.

All of this makes Nicla Vision the ideal solution to develop or prototype with on-device image processing and machine vision at the edge, for asset tracking, object recognition, predictive maintenance and more – easier and faster than ever. Train it to spot details, so you can focus on the big picture.

  • Tiny form factor of 22.86 x 22.86 mm
  • Powerful processor to host intelligence on the edge
  • Packed with a 2MP color camera that supports TinyML, smart 6-axis motion sensor, microphone and distance sensor
  • Wi-Fi and Bluetooth® Low Energy connectivity
  • Supports MicroPython
  • Standalone when battery powered
  • Expand existing project with sensing capabilities, make MV prototyping faster
  • Microcontroller: STM32H747AII6 Dual Arm® Cortex® M7/M4 IC:
    • 1x Arm® Cortex® M7 core up to 480 MHz
    • 1x Arm® Cortex® M4 core up to 240 MHz
  • Sensors:
    • 2 MP Color Camera
    • 6-Axis IMU (LSM6DSOX)
    • Distance / Time Of Flight sensor (VL53L1CBV0FY/1)
    • Microphone (MP34DT05)
  • I/O: Castellated pins with the following features:
    • 1x I2C bus (with ESLOV connector), JTAG, Power and GPIO pin headers
    • 1x serial port
    • 1x SPI
    • 2x ADC
    • Programmable I/O voltage from 1.8-3.3V
  • Power:
    • High speed USB (480Mbps)
    • Pin Header
    • 3.7V Li-po battery with Integrated battery charger and fuel gauge (MAX17262REWL)
  • Dimensions: 22.86 mm x 22.86 mm
  • Memory: 2MB Flash / 1MB RAM, 16MB QSPI Flash for storage
  • Security: NXP SE050C2 Crypto chip
  • Connectivity: Wi-Fi / Bluetooth® Low Energy 4.2, (Murata 1DX - LBEE5KL1DX-883)
  • Interface: USB interface with debug functionality
  • Operating Temperature Range: -20° C to +70° C (-4° F to 158°F)

Nicla Vision Product Help and Resources

Core Skill: Programming

If a board needs code or communicates somehow, you're going to need to know how to program or interface with it. The programming skill is all about communication and code.

3 Programming

Skill Level: Competent - The toolchain for programming is a bit more complex and will examples may not be explicitly provided for you. You will be required to have a fundamental knowledge of programming and be required to provide your own code. You may need to modify existing libraries or code to work with your specific hardware. Sensor and hardware interfaces will be SPI or I2C.
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Core Skill: Electrical Prototyping

If it requires power, you need to know how much, what all the pins do, and how to hook it up. You may need to reference datasheets, schematics, and know the ins and outs of electronics.

2 Electrical Prototyping

Skill Level: Rookie - You may be required to know a bit more about the component, such as orientation, or how to hook it up, in addition to power requirements. You will need to understand polarized components.
See all skill levels


Comments

Looking for answers to technical questions?

We welcome your comments and suggestions below. However, if you are looking for solutions to technical questions please see our Technical Assistance page.

  • erff / about a month ago / 1

    Is there an updated data sheet yet with the power consumption page filled in?

Customer Reviews

5 out of 5

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Counting bees

We are using the Arduino Nicla Vision for counting bees. This is a Machine Learning project of one of my students at university. We are using Edge Impulse FOMO and the Nicla Vision performance is very good. With another application, I am particularly very happy with the ToF sensor on board. I am preparing project with this fantastic technology. In short, the Nicla Vision is steady, fast, reliable and easy to use.