Arduino Nicla Vision

Description

The Nicla Vision by Arduino is a collaboration product between Arduino and to produce a small computer vision camera module that could be used for anything. Originally, we had the idea to make an 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 its 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 youre 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 its designed to be compatible with all Arduino Portenta and MKR products, fully integrates with , supports MicroPython and also offers both WiFi and Bluetooth Low Energy connectivity. Its 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