{"product_id":"official-arduino-uno-q-single-board-computer-model-4gb-abx00173","title":"Official Arduino UNO Q Single Board Computer Model 4GB (ABX00173)","description":"\u003cp\u003e\u003cstrong\u003eAdvanced features\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eMicroprocessor: Qualcomm® Dragonwing™ QRB2210\u003c\/li\u003e\n\u003cli\u003eMicrocontroller: Real-time, low-power STM32U585 MCU\u003c\/li\u003e\n\u003cli\u003eRAM: 4 GB LPDDR4\u003c\/li\u003e\n\u003cli\u003eStorage: 32 GB eMMC built-in (no SD card required)\u003c\/li\u003e\n\u003cli\u003eConnectivity: Dual-band Wi-Fi® 5 (2.4\/5 GHz), Bluetooth® 5.1\u003c\/li\u003e\n\u003cli\u003eHigh-speed headers: Power advanced peripherals – vision, audio, display\u003c\/li\u003e\n\u003cli\u003eClassic UNO headers: Mount shields to add capabilities\u003c\/li\u003e\n\u003cli\u003eLED matrix: 8 x 13 LED matrix for visual creation and feedback\u003c\/li\u003e\n\u003cli\u003eUSB-C connector: Power delivery, video output, or connect keyboard, mouse, USB microphones or USB cameras via dongle\u003c\/li\u003e\n\u003cli\u003eQwiic connector: Expand easily with Modulino® nodes – no soldering required\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eUNO Q empowers innovators to turn ideas into real-world solutions. Whether you’re experimenting with IoT, learning robotics, or diving into AI, your next idea starts with Q.\u003c\/p\u003e\n\u003ch2 class=\"ino-product-section-subtitle\"\u003eOverview\u003c\/h2\u003e\n\u003cdiv id=\"product-desc\" class=\"ino-product-section-content\"\u003e\n\u003cp\u003eArduino® UNO™ Q 4GB’s hybrid design makes it the perfect dual-brain platform for your next innovation. It combines a Linux® Debian-capable Qualcomm® Dragonwing™ QRB2210 microprocessor with a real-time STM32U585 microcontroller (MCU). It’s Arduino, it’s a computer, it’s anything you want to build. \u003c\/p\u003e\n\u003cp\u003eThis variant of Arduino UNO Q features 4 GB of RAM and 32 GB of eMMC, making it the best choice if:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eYou intend to use UNO Q in single-board computer (SBC) mode.\u003c\/li\u003e\n\u003cli\u003eYour application requires running multiple, simultaneous high-level processes.\u003c\/li\u003e\n\u003cli\u003eYou plan to use larger, more complex AI or machine learning models (such as high-resolution computer vision or sophisticated audio processing).\u003c\/li\u003e\n\u003cli\u003eYou need substantial built-in storage for logs and data, and\/or a robust development environment.\u003cbr\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eArduino UNO Q is the go-to tool to prototype your next robotics or IoT project, thanks to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAll-in-one toolbox: Arduino UNO Q combines the powerful Dragonwing™ QRB2210 microprocessor (MPU) with a real-time STM32U585 microcontroller (MCU) – no matter what you’re building, it’s your new go-to tool!\u003c\/li\u003e\n\u003cli\u003eAI in a blink: unlock AI-powered vision and sound solutions that react to their environment.\u003c\/li\u003e\n\u003cli\u003eArduino support and developer tools including libraries, sketches, and projects developed for the UNO ecosystem by millions of users\u003c\/li\u003e\n\u003cli\u003eCompatible with the Arduino UNO ecosystem: UNO Q works with a wide range of Arduino hardware, from classic UNO shields to new carriers, and includes a Qwiic connector for Modulino® nodes and third-party modules.\u003c\/li\u003e\n\u003cli\u003eStreamlined software experience: in addition to Arduino IDE and Arduino Cloud, you can jumpstart development with plenty of pre-built examples and AI models available through Arduino App Lab.\u003c\/li\u003e\n\u003cli\u003eSeamless, unified development: build classic Arduino Sketches, code in Python® thanks to the pre-installed Linux® Debian OS, or mix the two from a single interface – it’s easy, with Arduino App Lab.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003ePowered by Qualcomm Dragonwing QRB2210\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eYour UNO Q is a compact, cost-effective platform with advanced features like machine vision – thanks to the integrated AI and GPU acceleration, quad-core 2.0 GHz CPU, Adreno GPU, 2x ISP, and support for camera, display, and audio provided by the Dragonwing QRB2210.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is Arduino App Lab?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnified Dev Experience\u003cbr\u003eApp Lab is a brand-new integrated development environment that unifies the journey across Linux® and real-time OS.\u003cbr\u003ePreloaded on the UNO Q, App Lab combines Arduino Sketches, Python® scripts, and containerized AI models into fully integrated applications all managed from a single interface.\u003c\/li\u003e\n\u003cli\u003eReady-to-use Apps and Bricks\u003cbr\u003eGet started fast with Arduino Apps, self-contained examples with everything you need. Add plug-and-play features to your projects with pre-built Bricks to accelerate your ideas even more.\u003c\/li\u003e\n\u003cli\u003ePre-loaded AI Models \u003cbr\u003eWith pre-loaded AI models in Arduino App Lab, you can leverage the real-world data for a wide range of capabilities such as object\/human detection, anomaly detection, image classification, sound recognition, and keyword spotting.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cp class=\"ino-product-section-subtitle\"\u003e\u003cstrong\u003eTech specs\u003c\/strong\u003e\u003c\/p\u003e\n\u003cdiv class=\"ino-product-section-content\"\u003e\n\u003ctable border=\"1\"\u003e\n\u003ccolgroup\u003e \u003ccol\u003e \u003ccol\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicroprocessor (MPU)\u003c\/td\u003e\n\u003ctd\u003eQualcomm Dragonwing™ QRB2210:\u003cbr\u003eQuad-core Arm® Cortex®-A53 @ 2.0 GHz\u003cbr\u003eAdreno GPU 3D graphics accelerator\u003cbr\u003e2x ISP (13 MP + 13 MP or 25 MP) @ 30 fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrocontroller (MCU)\u003c\/td\u003e\n\u003ctd\u003eSTM32U585\u003cbr\u003eArm® Cortex®-M33 up to 160 MHz\u003cbr\u003e2 MB flash memory\u003cbr\u003e786 KB SRAM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003e4GB LPDDR4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Supply\u003c\/td\u003e\n\u003ctd\u003eFrom USB-C connector 5 V max at 3 A\u003cbr\u003eInput Voltage (VIN): 7-24 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e32GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e1× USB-C port with host\/device role switching, power role switch and video output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnectivity\u003c\/td\u003e\n\u003ctd\u003eWi-Fi® 5 2.4\/5GHz with onboard antenna\u003cbr\u003eBluetooth® 5.1 with onboard antenna\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfaces\u003c\/td\u003e\n\u003ctd\u003eI2C\/I3C\u003cbr\u003eSPI\u003cbr\u003ePWM\u003cbr\u003eCAN\u003cbr\u003eUART\u003cbr\u003ePSSI\u003cbr\u003eGPIO\u003cbr\u003eJTAG\u003cbr\u003eADC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo\u003c\/td\u003e\n\u003ctd\u003eVideo output support via USB-C\u003cbr\u003eMIPI DSI pins on JMEDIA header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExtra\u003c\/td\u003e\n\u003ctd\u003e4× RGB user-controllable LEDs\u003cbr\u003e8x13 Blue LED Matrix\u003cbr\u003e1x Qwiic connector voltage 3V3, I2C\u003cbr\u003e1x User push-button\u003cbr\u003eJCTL: MPU Remote Debug connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudio\u003c\/td\u003e\n\u003ctd\u003eMicrophone IN \/ Headphone OUT \/ Line OUT on JMISC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e68.85 mm x 53.34 mm (UNO form factor)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMPU Operating System\u003c\/td\u003e\n\u003ctd\u003eLinux Debian OS with upstream support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eReal-time Operating System\u003c\/td\u003e\n\u003ctd\u003eArduino Core on Zephyr OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eContainerization\u003c\/td\u003e\n\u003ctd\u003eDocker and Docker Compose support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupport Operating Systems for Arduino App Lab\u003c\/td\u003e\n\u003ctd\u003eWindows: Windows 10 or later (64-bit)\u003cbr\u003emacOS: macOS 11 or later (64-bit)\u003cbr\u003eLinux: Ubuntu 22.04 or later, and Debian Trixie (64-bit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"Arduino","offers":[{"title":"Default Title","offer_id":43090684248107,"sku":"ABX00173","price":6549.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0574\/6796\/1387\/files\/ABX00173_03.unbox_1000x750_3e67a174-0d8b-4d66-9f4e-0a59b50de483.jpg?v=1771492338","url":"https:\/\/www.indianhobbycenter.com\/products\/official-arduino-uno-q-single-board-computer-model-4gb-abx00173","provider":"Indian Hobby Center","version":"1.0","type":"link"}