Skip to content

    Your cart is empty

    Time to spark some excitement 🛒⚡

Taxes and shipping calculated at checkout
Subtotal €0,00

ARDUINO UNO WiFi REV2

SKU ABX00021 Barcode 7630049200234 Show more
Original price €0
Original price €55,14 - Original price €55,14
Original price
Current price €55,14
€55,14 - €55,14
Current price €55,14
VAT included

The Arduino for your educational projects with wireless connectivity and motion sensing.

Overview

The Arduino UNO WiFi Rev.2 is the easiest point of entry to basic IoT with the standard form factor of the UNO family. Whether you are looking at building a sensor network connected to your office or home router, or if you want to create a Bluetooth® Low Energy device sending data to a cellphone, the Arduino UNO WiFi Rev.2 is your one-stop-solution for many of the basic IoT application scenarios.

Add this board to a device and you'll be able to connect it to a WiFi network, using its secure ECC608 crypto chip accelerator. The Arduino Uno WiFi is functionally the same as the Arduino Uno Rev3, but with the addition of WiFi / Bluetooth® and some other enhancements. It incorporates the brand new ATmega4809 8-bit microcontroller from Microchip and has an onboard IMU (Inertial Measurement Unit) LSM6DS3TR.

The Wi-Fi Module is a self-contained SoC with integrated TCP/IP protocol stack that can provide access to a Wi-Fi network, or act as an access point. It is the u-blox NINA-W102 and (here) you find the datasheet.

The Arduino UNO WiFi Rev.2 has 14 digital input/output pins—5 can be used as PWM outputs—6 analog inputs, a USB connection, a power jack, an ICSP header, and a reset button. It contains everything needed to support the microcontroller. Simply connect it to a computer with a USB cable or power it with an AC adapter or battery to get started.

 

Compatibility

This board has the Microchip ATmega4809 microcontroller, but thanks to the compatibility layer included in the core, you can run all the sketches made for the UNO's ATmega328P microconntroller on the ATmega4809. You can find more information about the usage of this mode in the Getting Started page of the Arduino UNO WiFi Rev.2

 

Bluetooth® and Bluetooth® Low Energy

The communications chipset on the Arduino UNO WiFi Rev.2  can be both a Bluetooth® and Bluetooth® Low Energy client and host device. Something pretty unique in the world of microcontroller platforms. If you want to see how easy it is to create a Bluetooth® central or a peripheral device, explore the examples at our ArduinoBLE library.

We Make it Open for you to Hack Along

The Arduino UNO WiFi Rev.2 is a dual processor device that invites for experimentation. Hacking the WiFiNINA module allows you to, for example, make use of both WiFi and Bluetooth® and Bluetooth® Low Energy at once on the board. Yet another possibility is having a super-lightweight version of linux running on the module, while the main microcontroller controls low level devices like motors, or screens. These experimental techniques, require advanced hacking on your side. They are possible via modifying the module's firmware that you can find at our github repositories.

BEWARE: this kind of hacking breaks the certification of your WiFiNINA module, do it at your own risk.

Related Boards

If you are looking at upgrading from previous Arduino designs, or if you are just interested in boards with similar functionality, at Arduino you can find:

  • MKR WiFi 1010: the small form factor version of the Arduino UNO WiFi Rev.2, with a battery connector and an additional I2C port. Read more here.
  • Nano 33 IoT: if you need an even smaller form factor, this board sacrifices the battery connector, but the basic functionality is essentially the same. Visit its product page here.
  • MKR WiFi 1000: can only run WiFi applications, as it includes a different chipset than the MKR WiFi 1010. Read more about it here.

Getting Started

The Getting Started section contains all the information you need to configure your board, use the Arduino Software (IDE), and start tinkering with coding and electronics.

Need Help?

Check the Arduino Forum for questions about the Arduino Language, or how to make your own Projects with Arduino. Need any help with your board please get in touch with the official Arduino User Support as explained in our Contact Us page.

Warranty

You can find here your board warranty information.


Tech specs

Microcontroller ATmega4809 (datasheet)
Operating Voltage 5V
Input Voltage (recommended) 6 - 20V
Digital I/O Pins 14 — 5 Provide PWM Output
PWM Digital I/O Pins 5
Analog Input Pins 6
DC Current per I/O Pin 20 mA
DC Current for 3.3V Pin 50 mA
Flash Memory 48 KB (ATmega4809)
SRAM 6,144 Bytes (ATmega4809)
EEPROM 256 Bytes (ATmega4809)
Clock Speed 16 MHz
Radio module u-blox NINA-W102 (datasheet)
Secure Element ATECC608A (datasheet)
Inertial Measurement Unit LSM6DS3TR (datasheet)
LED_BUILTIN 25
Length 68.6 mm
Width 53.4 mm
Weight 25 g

Conformities

The following Declarations of Conformities have been granted for this board:
FCC
CE
For any further information about our certifications please visit docs.arduino.cc/certifications

Resources for Safety and Products

Manufacturer Information

The production information includes the address and related details of the product manufacturer.

Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
https://www.arduino.cc/ 

Responsible Person in the EU

An EU-based economic operator who ensures the product's compliance with the required regulations.

Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
Phone: +39 0113157477
Email: support@arduino.cc

 

Documentation

OSH: Schematics

The UNO WIFi REV2 is open-source hardware! You can build your own board using the following files:

EAGLE FILES IN .ZIP SCHEMATICS IN .PDF

Pinout Diagram

Download the full pinout diagram as PDF here.

Interactive Board Viewer

 

Get Inspired

PROJECT HUB
Tiny ML in interactive spaces Arduino X K-WAY Challenge Project
Tiny ML in interactive spaces Arduino X K-WAY Challenge Project
Project Tutorial by fullmakeralchemist

An intelligent device to track moves with responses during an interactive space with mapping, backlight, music and smart sculptures. This project makes use of a machine learning algorithm capable of tracking and detecting moves to identify associated gesture recognition through a microcontroller. Smart sculptures, lighting, music and video projection to trigger with each assigned gesture, creating a powerful AV experience highlighting the incredible potential of TinyML for the performing arts. This allows the corresponding media set Tiny ML in interactive to play when the right move was made because all these elements interact to create a new experience. This allows us to create Interactive installations, these sculptures use a combination of motors, sensors, and other electronics to create an immersive and interactive experience for the viewer. They may include projections, sound, and other sensory elements to create a complete experience.

read more
BLOG
These projects from CMU incorporate the Arduino Nano 33 BLE Sense in clever ways
These projects from CMU incorporate the Arduino Nano 33 BLE Sense in clever ways
May 22, 2023

With an array of onboard sensors, Bluetooth® Low Energy connectivity, and the ability to perform edge AI tasks thanks to its nRF52840 SoC, the Arduino Nano 33 BLE Sense is a great choice for a wide variety of embedded applications. Further demonstrating this point, a group of students from the Introduction to Embedded Deep Learning course at Carnegie Mellon University have published the culmination of their studies through 10 excellent projects that each use the Tiny Machine Learning Kit and Edge Impulse ML platform. Wrist-based human activity recognition Traditional human activity tracking has relied on the use of smartwatches and phones to recognize certain exercises based on IMU data. However, few have achieved both continuous and low-power operation, which is why Omkar Savkur, Nicholas Toldalagi, and Kevin Xie explored training an embedded model on combined accelerometer and microphone data to distinguish between handwashing, brushing one’s teeth, and idling. Their project continuously runs inferencing on incoming data and then displays the action on both a screen and via two LEDs. Categorizing trash with sound In some circumstances, such as smart cities or home recycling, knowing what types of materials are being thrown away can provide a valuable datapoint for waste management systems. Students Jacky Wang and Gordonson Yan created their project, called SBTrashCat, to recognize trash types by the sounds they make when being thrown into a bin. Currently, the model can three different kinds, along with background noise and human voices to eliminate false positives. Distributed edge machine learning The abundance of Internet of Things (IoT) devices has meant an explosion of computational power and the amount of data needing to be processed before it can become useful. Because a single low-cost edge device does not possess enough power on its own for some tasks, Jong-Ik Park, Chad Taylor, and Anudeep Bolimera have designed a system where

read more

Inspired by your shopping trends

  • L298 driver for DC/Stepper motors

    Based on the ST L298N chip, this module is designed to accept standard TTL logic levels and drive inductive loads such as relays, solenoids, DC motors, and stepper motors. It has the ability to re...

  • Arduino Uno Rev3

    Arduino Uno is a microcontroller board based on the ATmega328P (datasheet). It has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analog inputs, a 16 MHz ceramic resonator ...

  • Solar Power Manager For 12V Lead-Acid Battery

    The DFRobot Solar Power Manager series are designed for IoT projects and renewable energy projects, providing safe and high-efficiency embedded solar power management modules for makers and applica...

  • Arduino Uno Rev3 SMD

    The Arduino Uno Rev3 SMD is a microcontroller board based on the ATmega328. It has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analog inputs, a 16 MHz ceramic resonator ...

Compare products

0 of 3 items selected

Select first item to compare

Select second item to compare

Select third item to compare

Compare
Your Cart


Continue shopping
ARDUINO UNO WiFi REV2 €57,50
Add To Cart