{"title":"ARDUINO UNO Q","description":"","products":[{"product_id":"official-arduino-uno-q-2gb-single-board-computer-abx00162-hybrid-ai-linux-mcu-development-board","title":"Official Arduino UNO Q 2GB Single Board Computer (ABX00162) | Hybrid AI Linux \u0026 MCU Development Board","description":"\u003ch5\u003eDescription\u003c\/h5\u003e\n\u003cp\u003eThe \u003cstrong\u003eOfficial Arduino UNO Q 2GB Single Board Computer (ABX00162)\u003c\/strong\u003e is a revolutionary next-generation, dual-brain development board that bridges the gap between high-performance Linux computing and ultra-reliable real-time microcontroller control. Engineered for AI, IoT, and advanced robotics, it features a hybrid architecture that combines a \u003cstrong\u003eQualcomm® Dragonwing™ QRB2210\u003c\/strong\u003e quad-core microprocessor running Debian Linux, and an \u003cstrong\u003eSTM32U585 ARM Cortex-M33\u003c\/strong\u003e microcontroller executing Arduino code. Packed with 2GB of LPDDR4 RAM, 16GB of built-in eMMC storage, dual-band Wi-Fi 5, Bluetooth 5.1, and an onboard 8x13 LED matrix, the UNO Q is an all-in-one prototyping powerhouse. Developers can seamlessly integrate Arduino Sketches, Python scripts, and AI computer vision models using the new Arduino App Lab, all while enjoying full hardware compatibility with classic Arduino UNO shields and I2C Qwiic modules.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003ePeople also search for:\u003c\/strong\u003e Arduino UNO Q ABX00162, dual brain single board computer, Arduino Linux board, Qualcomm Arduino SBC, edge AI development board, Arduino App lab hardware, smart robotics controller, hybrid microcontroller.\u003c\/p\u003e\n\n\u003chr\u003e\n\n\u003ch5\u003eSpecifications\u003c\/h5\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicroprocessor (MPU):\u003c\/strong\u003e Qualcomm Dragonwing™ QRB2210 (Quad-core ARM Cortex-A53 @ 2.0 GHz) with Adreno GPU\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicrocontroller (MCU):\u003c\/strong\u003e STMicroelectronics STM32U585 (ARM Cortex-M33 up to 160 MHz)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory:\u003c\/strong\u003e 2GB LPDDR4 RAM\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStorage:\u003c\/strong\u003e 16GB eMMC built-in (No SD card required)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnectivity:\u003c\/strong\u003e Dual-band Wi-Fi® 5 (2.4\/5 GHz) and Bluetooth® 5.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Supply:\u003c\/strong\u003e 5V\/3A via USB-C or 7V–24V DC via VIN pin\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInterfaces:\u003c\/strong\u003e Classic UNO headers, Qwiic 3.3V I2C connector, USB-C (Power Delivery, Video Output, Data)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVisuals:\u003c\/strong\u003e 8x13 Blue LED Matrix, 4x User-controllable RGB LEDs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Systems:\u003c\/strong\u003e Debian Linux OS (MPU) and Zephyr RTOS with Arduino Core (MCU)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch5\u003eApplications\u003c\/h5\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eEdge AI \u0026amp; Machine Learning:\u003c\/strong\u003e Running pre-loaded AI models for object, face, and sound recognition directly on the board using a connected USB webcam.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial IoT Gateways:\u003c\/strong\u003e Securely aggregating and processing heavy sensor data locally before syncing it to the cloud.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobotics \u0026amp; Automation:\u003c\/strong\u003e Combining Linux-based computer vision processing with real-time, low-latency MCU-driven motor control for autonomous rovers and robotic arms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart Home Systems:\u003c\/strong\u003e Developing advanced smart displays, facial recognition doorbells, and personalized home automation hubs.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch5\u003eUsage Notes\u003c\/h5\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual Environment Setup:\u003c\/strong\u003e You can program the board using the highly intuitive \u003cem\u003eArduino App Lab\u003c\/em\u003e (which unifies Linux containers, Python, and Arduino) or use the standard Arduino IDE strictly for the MCU side.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Requirements:\u003c\/strong\u003e To run intensive Linux and AI workloads smoothly without crashing, the USB-C port requires a stable high-current power supply rated for at least \u003cstrong\u003e5V \/ 3A\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCamera Integration:\u003c\/strong\u003e Thanks to the high-speed USB-C port and Debian Linux OS, you can plug a standard UVC USB mini-webcam directly into the board to easily implement computer vision tasks.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch5\u003eFAQ\u003c\/h5\u003e\n\u003cp\u003e\u003cstrong\u003eQ: What makes the Arduino UNO Q different from a Raspberry Pi or standard Arduino?\u003c\/strong\u003e\u003cbr\u003e\nA: The UNO Q is a true \"hybrid\" board. It offers the heavy-duty processing power of an SBC (Linux, AI, Video output) while simultaneously featuring a dedicated hardware microcontroller (like a standard Arduino Uno) for precise, real-time pin control—all on one single platform.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eQ: Do I need to buy a microSD card to boot the operating system?\u003c\/strong\u003e\u003cbr\u003e\nA: No, the 2GB variant comes with 16GB of ultra-fast embedded eMMC storage built directly onto the board. This provides significantly faster boot times and better file corruption resistance than standard SD cards.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eQ: Can I still use my older Arduino UNO shields with this board?\u003c\/strong\u003e\u003cbr\u003e\nA: Yes! The UNO Q strictly maintains the classic Arduino UNO form factor and header layout, making it fully compatible with existing UNO shields, alongside newer plug-and-play Qwiic sensor modules.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eQ: Can I output video directly to a monitor?\u003c\/strong\u003e\u003cbr\u003e\nA: Yes, the onboard USB-C port supports video output (DisplayPort Alt Mode), allowing you to connect it directly to a monitor while running Linux GUI applications or setting up a dashboard.\u003c\/p\u003e\n\n\u003ch5\u003ePackage Includes\u003c\/h5\u003e\n\u003cul\u003e\n\u003cli\u003e1 × Official Arduino UNO Q 2GB Single Board Computer (ABX00162)\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Arduino","offers":[{"title":"Default Title","offer_id":48051111002350,"sku":"ARD-28837","price":5699.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/2132\/9029\/files\/arduino-uno-q-2gb.jpg?v=1779728937"},{"product_id":"official-arduino-uno-q-4gb-single-board-computer-abx00173-high-performance-hybrid-ai-sbc","title":"Official Arduino UNO Q 4GB Single Board Computer (ABX00173) | High-Performance Hybrid AI SBC","description":"\u003ch5\u003eDescription\u003c\/h5\u003e\n\u003cp\u003eThe \u003cstrong\u003eOfficial Arduino UNO Q 4GB Single Board Computer (ABX00173)\u003c\/strong\u003e is the ultimate \"dual-brain\" development platform, built for developers who need maximum performance for edge AI, robotics, and intensive IoT applications. This upgraded variant features a massive \u003cstrong\u003e4GB of LPDDR4 RAM and 32GB of built-in eMMC storage\u003c\/strong\u003e, providing the headroom required to run multiple Linux containers, high-resolution computer vision models, and heavy data-logging tasks without bottlenecks. It combines a \u003cstrong\u003eQualcomm® Dragonwing™ QRB2210\u003c\/strong\u003e quad-core microprocessor running Debian Linux with a real-time \u003cstrong\u003eSTM32U585 ARM Cortex-M33\u003c\/strong\u003e microcontroller executing classic Arduino code. With built-in Wi-Fi 5, Bluetooth 5.1, USB-C video output, and full compatibility with existing UNO shields and Qwiic modules, the UNO Q 4GB empowers you to mix Python scripts, AI models, and C++ sketches effortlessly via the unified Arduino App Lab.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003ePeople also search for:\u003c\/strong\u003e Arduino UNO Q 4GB, ABX00173 development board, dual brain single board computer, Arduino Edge AI board, Qualcomm QRB2210 SBC, Arduino App Lab hardware, high memory hybrid microcontroller, Raspberry Pi alternative Arduino.\u003c\/p\u003e\n\n\u003chr\u003e\n\n\u003ch5\u003eSpecifications\u003c\/h5\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicroprocessor (MPU):\u003c\/strong\u003e Qualcomm Dragonwing™ QRB2210 (Quad-core ARM Cortex-A53 @ 2.0 GHz) with Adreno 702 GPU\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicrocontroller (MCU):\u003c\/strong\u003e STMicroelectronics STM32U585 (ARM Cortex-M33 up to 160 MHz)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory:\u003c\/strong\u003e 4GB LPDDR4 RAM (Ideal for heavy AI workloads)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStorage:\u003c\/strong\u003e 32GB eMMC built-in (High-speed, robust OS boot storage)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnectivity:\u003c\/strong\u003e Dual-band Wi-Fi® 5 (2.4\/5 GHz) and Bluetooth® 5.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Supply:\u003c\/strong\u003e 5V\/3A via USB-C or 7V–24V DC via VIN pin\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInterfaces:\u003c\/strong\u003e Classic UNO headers, Qwiic 3.3V I2C connector, USB-C (Power Delivery, DisplayPort Alt-Mode Video Output, Data)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVisuals:\u003c\/strong\u003e Onboard 8x13 Blue LED Matrix, 4x User-controllable RGB LEDs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Systems:\u003c\/strong\u003e Debian Linux OS (MPU) and Zephyr RTOS with Arduino Core (MCU)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch5\u003eApplications\u003c\/h5\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdvanced Edge AI \u0026amp; Vision:\u003c\/strong\u003e Running high-resolution object detection, facial recognition, and complex machine learning models natively on the board using the Adreno GPU and 4GB of RAM.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial IoT Gateways:\u003c\/strong\u003e Processing and buffering massive amounts of sensor data locally on the 32GB eMMC storage before securely syncing to cloud dashboards.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Robotics:\u003c\/strong\u003e Using the Linux MPU for high-level navigation and camera processing, while the MCU handles deterministic, zero-latency motor control.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart Dashboards \u0026amp; Displays:\u003c\/strong\u003e Outputting a full Linux graphical user interface to an external monitor via the USB-C DisplayPort feature for interactive kiosks and smart home hubs.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch5\u003eUsage Notes\u003c\/h5\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Requirements:\u003c\/strong\u003e Because of the powerful Qualcomm processor and 4GB of RAM, you must use a high-quality USB-C power supply rated for at least \u003cstrong\u003e5V \/ 3A\u003c\/strong\u003e to prevent system crashes during heavy CPU loads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStorage Advantages:\u003c\/strong\u003e Unlike traditional SBCs that rely on easily corrupted microSD cards, the UNO Q 4GB boots its Debian Linux OS directly from the fast, highly reliable 32GB onboard eMMC storage.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnecting Cameras:\u003c\/strong\u003e You can plug standard UVC-compatible webcams directly into the USB-C port (via a dongle or hub) to instantly start building computer vision applications using Arduino App Lab.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch5\u003eFAQ\u003c\/h5\u003e\n\u003cp\u003e\u003cstrong\u003eQ: What is the main difference between this ABX00173 model and the ABX00162 model?\u003c\/strong\u003e\u003cbr\u003e\nA: The ABX00173 is the high-performance variant. It doubles both the memory and storage, offering 4GB of RAM (up from 2GB) and 32GB of eMMC storage (up from 16GB). This is highly recommended if you plan to run a desktop environment, heavy AI models, or multiple Docker containers simultaneously.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eQ: Does this board support my older Arduino UNO shields?\u003c\/strong\u003e\u003cbr\u003e\nA: Yes! Despite being a powerful Linux computer, the UNO Q strictly maintains the classic Arduino UNO footprint and pinout, ensuring seamless compatibility with standard UNO shields and accessories.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eQ: Can I connect a monitor and keyboard directly to it?\u003c\/strong\u003e\u003cbr\u003e\nA: Yes. The USB-C port supports DisplayPort Alt-Mode, meaning you can connect it to a monitor (using a compatible USB-C to HDMI\/DP adapter) and attach a USB mouse and keyboard to use it as a standalone Linux PC.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eQ: How do I program the two different \"brains\" on the board?\u003c\/strong\u003e\u003cbr\u003e\nA: You can use the new \u003cem\u003eArduino App Lab\u003c\/em\u003e, a unified interface that lets you manage Linux applications (Python, AI models) and Arduino MCU Sketches (C++) in one place, handling all the complex communication between the chips automatically.\u003c\/p\u003e\n\n\u003ch5\u003ePackage Includes\u003c\/h5\u003e\n\u003cul\u003e\n\u003cli\u003e1 × Official Arduino UNO Q 4GB Single Board Computer (ABX00173)\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Arduino","offers":[{"title":"Default Title","offer_id":48051113689326,"sku":"ARD-28839","price":7669.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/2132\/9029\/files\/arduino-uno-q-2gbdevkit.jpg?v=1779728918"}],"url":"https:\/\/www.tomsonelectronics.com\/collections\/arduino-uno-q.oembed","provider":"Tomson Electronics ","version":"1.0","type":"link"}