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Introducing the Arduino UNO R4 Minima! This board boasts the RA4M1 microprocessor from Renesas, delivering increased processing power, expanded memory, and additional peripherals. And the best part? It stays true to the reliable UNO form factor and operates at a practical 5 V voltage. Brace yourself for an upgrade like no other with the Arduino UNO R4 Minima!
Enhanced and improved, the Arduino UNO R4 Minima is armed with a powerful 32-bit microcontroller courtesy of Renesas. Brace yourself for increased processing power, expanded memory, and a whole new level of on-board peripherals. The best part? Compatibility with existing shields and accessories remains intact, and there's no need to make any changes to the standard form factor or 5 V operating voltage.
Joining the Arduino ecosystem, the UNO R4 is a trusty addition suitable for both beginners and seasoned electronics enthusiasts. Whether you're just starting out or looking to push the boundaries of your projects, this robust board delivers reliable performance every time.
Here's what the UNO R4 Minima brings to the table:
Get ready to unlock a world of possibilities with the Arduino UNO R4 Minima. Its exceptional features and enhanced capabilities make it the perfect companion for your innovative ventures.
If you are looking to upgrade your project with wireless connectivity or want to start exploring the world of IoT, you can check the Arduino UNO R4 WiFi.
Board | Name | Arduino® UNO R4 Minima |
SKU | ABX00080 | |
Microcontroller | Renesas RA4M1 (Arm® Cortex®-M4) | |
USB | USB-C® | Programming Port |
Pins | Digital I/O Pins | 14 |
Pins | Analog input pins | 6 |
DAC | 1 | |
PWM pins | 6 | |
Communication | UART | Yes, 4x |
I2C | Yes, 1x | |
SPI | Yes, 1x | |
CAN | Yes 1 CAN Bus | |
Power | Circuit operating voltage | 5 V |
Input voltage (VIN) | 6-24 V | |
DC Current per I/O Pin | 8 mA | |
Clock speed | Main core | 48 MHz |
Memory | RA4M1 | 256 kB Flash, 32 kB RAM |
Dimensions | Width | 68.85 mm |
Length | 53.34 mm |
Based on the Renesas RA4M1 microcontroller, the new Arduino UNO R4 boasts 16x the RAM, 8x the flash, and a much faster CPU compared to the previous UNO R3. This means that unlike its predecessor, the R4 is capable of running machine learning at the edge to perform inferencing of incoming data. With this fact in mind, Roni Bandini wanted to leverage his UNO R4 Minima by training a model to predict the likelihood of a FIFA team winning their match. Bandini began his project by first downloading a dataset containing historical FIFA matches, including the country, team, opposing team, ranking, and neutral location. Next, the data was added to Edge impulse as a time-series dataset which feeds into a Keras classifier ML block and produces “win” and “lose/draw” values. Once trained, the model achieved an accuracy of 69% with a loss value of 0.58. Inputting the desired country and rank to make a prediction is done by making selections on a DFRobot LCD shield, and these values are then used to populate the input tensor for the model before it gets invoked and returns its classification results. Bandini's device demonstrates how much more powerful the Arduino UNO R4 is over the R3, and additional information on the project can be found here in his post.
Yes, the Arduino UNO R4 Minima was specifically designed to ensure compatibility with previous shields and compatible hardware developed for the Arduino UNO R3. The UNO R4 Minima maintains the same mechanical and electrical compatibility, allowing you to seamlessly use your existing shields and hardware with the new board. This makes it easy to upgrade to the UNO R4 Minima without the need for significant changes or adaptations to your projects.
Yes, if your sketch was developed using the Arduino API. In case you are using instructions only available for the AVR architecture, some changes need to be made to ensure compatibility.
No, some UNO R3 libraries use instructions of the AVR architecture that are not compatible with the architecture of the UNO R4 Minima, however there are libraries that have already been ported as part of our early adopters program or are based on the Arduino API.