Overview
The Nano Every is Arduino’s 5V compatible board in the smallest available form factor: 45x18mm!
The Arduino Nano is the preferred board for many projects requiring a small and easy to use microcontroller board. One example is low cost robotics, where the Nano is broadly used. If you are in the situation of needing many boards for your classroom, or if you need to present a complex prototype with many functional blocks, this pack will offer you exactly what you need: a series of Arduino Nano Every boards at a discounted price.
The Arduino Nano Every is an evolution of the traditional Arduino Nano, but featuring a lot more powerful processor, the ATMega4809. This will allow you making larger programs than with the Arduino Uno (it has 50% more program memory), and with a lot more variables (the RAM is 200% bigger).
The pack is available in two sizes with either 3 or 6 boards of Arduino Nano Every without headers. Whether you want to minimize the size of your prototypes or share the joy of electronics with your friends, this is the best option you will find.
Get to Know More
To know more about the history of the Nano Every don’t miss the interview with Dario Pennisi, Arduino’s hardware and firmware development manager, who led the development of this board.
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 . For any issues when acquiring products at the Arduino store, contact our Store Customer Support. If you purchased the Nano Every Pack and found any issues get in touch with the Official Arduino User Support as explained at our Contact Page.
Warranty
You can find here your board warranty information.
Tech specs
The Arduino Nano Every is based on the ATMega4809 microcontroller.
Microcontroller | ATMega4809 (datasheet) |
Operating Voltage | 5V |
Input Voltage (limit) | 21V |
DC Current per I/O Pin | 20 mA |
DC Current for 3.3V Pin | 50 mA |
Clock Speed | 20MHz |
CPU Flash Memory | 48KB (ATMega4809) |
SRAM | 6KB (ATMega4809) |
EEPROM | 256byte (ATMega4809) |
PWM Pins | 5 (D3, D5, D6, D9, D10) |
UART | 1 |
SPI | 1 |
I2C | 1 |
Analog Input Pins | 8 (ADC 10 bit) |
Analog Output Pins | Only through PWM (no DAC) |
External Interrupts | all digital pins |
LED_BUILTIN | 13 |
USB | Uses the ATSAMD11D14A (datasheet) |
Length | 45 mm |
Width | 18 mm |
Weight | 5 gr (with headers) |
Conformities
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 Arduino Nano Every 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.
Download the Fritzing file here.
Learn more
Get Inspired
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.
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
FAQs
Batteries, Pins and board LEDs
- Batteries: the Nano Every has no battery connector, nor charger. You can connect any external battery of your liking as long as you respect the voltage limits of the board.
- Vin: This pin can be used to power the board with a DC voltage source. If the power is fed through this pin, the USB power source is disconnected. This pin is an INPUT. Respect the voltage limits to assure the proper functionality of the board.
- 5V: This pin outputs 5V from the board when powered from the USB connector or from the VIN pin of the board.
- 3.3V: This pin outputs 3.3V through the on-board voltage regulator.
- LED ON: This LED is connected to the 5V input from either USB or VIN.