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UNO R4 Minima Compatible

UNO R4 Minima Compatible

The UNO R4 Minima Compatible Board is a cost-effective development platform designed to fully match the functionality and pin layout of the official Arduino UNO R4 Minima. It retains full compatibility with official features while introducing several practical hardware improvements for easier development, better flexibility, and reduced cost. This makes it suitable for embedded systems, IoT projects, automation, education, and rapid prototyping.

Package Includes:

  • 1 x UNO R4 Minima Compatible Board
  • 1 x USB to Type-C Cable
56.50 AED 56.50 AED (Tax included)

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Features:

  • Fully compatible with official Arduino UNO R4 Minima features and pin layout.
  • Improved interface design with an additional row of connectors for expanded access and easier external connections.
  • Cost-optimized design using domestically produced DC chips for reduced production cost.
  • Enhanced USB/WiFi mode handling with simplified switching architecture.
  • Improved hardware switching system using a dial switch instead of solder-based configuration.
  • More convenient operation compared to the official version requiring soldering for mode selection.
  • Stable performance suitable for development, prototyping, and educational use.
  • Compatible with Arduino IDE and standard UNO ecosystem libraries.

 

Technical Details:

  • Board Type: UNO R4 Minima Compatible
  • Compatibility: Fully compatible with official UNO R4 Minima features
  • Operating Voltage: 5V
  • Input Voltage: 6–24V (recommended range)
  • Digital I/O Pins: 14
  • Analog Inputs: 6
  • PWM Channels: 6
  • Interface: USB Type-C
  • Switching Method: Dial switch (mode selection)
  • Interface Expansion: Additional GPIO header row
  • Design Improvement: Cost-optimized DC component usage

 

Pinout:

Arduino Uno R4 Minima — SunFounder 3in1 Kit documentation

Applications:

  • IoT and smart device development.
  • Robotics and control systems.
  • Embedded system prototyping.
  • Educational electronics and STEM learning.
  • Automation and sensor-based projects.