The Arduino UNO Q represents the next evolution in the UNO family, delivering the power of a Single-Board Computer (SBC) with built-in Artificial Intelligence (AI) and Linux capabilities, all while retaining the iconic simplicity and form factor of Arduino. This groundbreaking board is engineered for developers, makers, and professionals aiming to build sophisticated applications like Computer Vision, robotics, and real-time data processing systems that go beyond the limits of a traditional microcontroller.

At the core of the UNO Q is the robust Qualcomm Dragonwing QRB2210 MPU, which runs a full Linux operating system. In parallel, it incorporates an STM32U585 MCU, an advanced microcontroller that enables classic, reliable, low-power, real-time operation and interaction with Arduino peripherals. This dual-architecture design allows you to execute complex AI models on Linux while simultaneously managing real-time I/O tasks with the MCU, effectively bridging the gap between Arduino's ease of use and the demands of industrial and advanced embedded applications.

The UNO Q maintains compatibility with most classic Arduino shields, leveraging the Modulino® format for display ouTPUt. With integrated Wi-Fi and Bluetooth® LE, along with a substantial 2GB LPDDR4 memory and 16GB eMMC storage, it is ready to integrate into any network and execute demanding, offline-capable applications. Jumpstart your projects in the world of AI and IoT immediately with the reliability and extensive support ecosystem offered by Arduino.

🎯 Key Features (Advanced features)

• Dual Processing Architecture: Combination of Qualcomm Dragonwing MPU (for Linux/AI) and STM32U585 MCU (for Real-Time I/O).

• AI & Linux Power: Capable of running high-compute applications, Computer Vision, and Machine Learning models.

• Advanced Connectivity: Integrated Wi-Fi and Bluetooth® LE for comprehensive IoT solutions.

• Ample Memory & Storage: 2GB LPDDR4 RAM and 16GB eMMC for fast booting and data storage.

• Compatibility: Retains the classic Arduino UNO form factor, compatible with most existing shields.

• Camera Capabilities: Supports up to 2x MIPI CSI Cameras for vision processing applications.

⚙️ Technical Specifications (Tech specs)