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
Debug your C33 with few steps
In July 2023, Samuel Alexander set out to reduce the amount of trash that gets thrown out due to poor sorting practices at the recycling bin. His original design relied on an Arduino Nano 33 BLE Sense to capture audio through its onboard microphone and then perform edge audio classification with an embedded ML model to automatically separate materials based on the sound they make when tossed inside. But in this latest iteration, Alexander added several large improvements to help the concept scale much further. Perhaps the most substantial modification, the bin now uses an Arduino Pro Portenta C33 in combination with an external Nicla Voice or Nano 33 BLE Sense to not only perform inferences to sort trash, but also send real-time data to a cloud endpoint. By utilizing the Arduino Cloud through the Portanta C33, each AI-enabled recycling bin can now report its current capacity for each type of waste and then send an alert when collection must occur. While not as practical for household use, this integration could be incredibly effective for municipalities looking to create a network of bins that can be deployed in a city park environment or another public space. Thanks to these upgrades, Alexander was able to submit his prototype for consideration in the 2023 Hackaday Prize competition where he was awarded the Protolabs manufacturing grant. To see more about this innovative project, you can check out its write-up here and watch Alexander’s detailed explanation video below.
