Overview
The MKR2UNO Adapter allows you to turn your Arduino UNO form factor based project into a MKR based one without too much effort! You can so upgrade your project with a powerful board with integrated LiPo battery charger.
Please note that currently the MKR2UNO adapter is compatible only with MKR1000 without headers
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- On the Software on the Arduino Forum
- On Projects on the Arduino Forum
- On the Product itself through our Customer Support
Tech specs
| Operating Voltage | 3.3V |
| Input Voltage (recommended) | 7-12V |
| Input Voltage (limit) | 6-16V |
| Analog Input Pins | 6 |
| Analog Output Pins | 1 |
| Digital I/O Pins | 14 |
| DC Current for 3.3V Pin | 700 mA |
| DC Current for 5V Pin | 700 mA |
| Length | 68.6 mm |
| Width | 53.4 mm |
| Weight | 24 g |
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
MKR2UNO is open-source hardware! You can build your own board using the following files:
EAGLE FILES IN .ZIP SCHEMATICS IN .PDF
Please keep in mind that the MKR2UNO is just a form factor adapter and so is NOT present any voltage translation. Be careful before connecting a shield since shield without IOREF level shifting capability may not work properly.
Like in many others Arduino boards this adapter allows to power your MKR board using a barrel jack with center positive polarity or the VIN pin on the headers.
Unlike the Arduino UNO, the MKR2UNO Adapter do NOT have I2C signals on A4 and A5 and SPI on pins 11, 12 and 13.
All the pins on the MKR2UNO Adapter are wired one to one from the MKR to the UNO form factor with some exception:
Get Inspired
For children who experience certain developmental delays, specific types of physical therapies are often employed to assist them in improving their balance and motor skills/coordination. Ivan Hernandez, Juan Diego Zambrano, and Abdelrahman Farag were looking for a way to quantify the progress patients make while simultaneously presenting a gamified approach, so they developed a standalone node for equilibrium evaluation that could do both. On the hardware side of things, an Arduino Nano BLE 33 Sense Rev2 is responsible for handling all of the incoming motion data from its onboard BMI270 six-axis IMU and BMM150 three-axis magnetometer. New readings are constantly taken, filtered, and fused together before being sent to an external device over Bluetooth Low Energy. The board was also connected to a buzzer and buttons for user inputs, as well as an RGB LED to get a real-time status. The patient begins the session by first putting on the wearable and connecting to the accompanying therapist application. Next, a game starts in which the user must move their torso to guide an image of a shark over the image of a stationary fish within a time period — ultimately trying to get the highest score possible. Throughout all of this, a vision system synchronizes its readings with the IMU sensor readings for an ultra-detailed look at how the patient responds to the game over time. To read more about the project, you can visit the team's write-up on Hackaday.io.
