The Nicla Vision by Arduino is a collaboration product between Arduino and OpenMV to produce a small computer vision camera module that could be used for anything. Originally, we had the idea to make an OpenMV Cam H7 micro camera, however, our camera choice and heat dissipation issues made the product impossible. Enter Arduino to the recuse! They pushed the design to include USB-HS, WiFi, a distance sensor, and more!
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.
Key benefits include:
- 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
Specifications:
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)
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)
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
Actual FoV with GC2145 image sensor:
- D77.0° H64.9° V51.0°
Power Consumption
- 374µA average current consumption in deep sleep mode
- 105mA average current consumption during image capture
Dimensions:
- Length: 22.86 mm
- Width: 22.86 mm
- Height: 7.26 mm
Temperature Range
- Storage Temperature: -20° C to +70° C
- Operating Temperature: -20° C to +70° C
3D Model
- Arduino Nicla Vision Model (.step)
Case
- Arduino Nicla Vision 3D Printable Case (.stl)
Power and Battery Guides
Documentations:
Package Includes:
- 1x Arduino Nicla Vision