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Home Arduino Arduino UNO Q 4GB – AI Single Board Computer
Arduino UNO Q 2GB - AI Single Board Computer
Arduino UNO Q 2GB - AI Single Board Computer ₹5,900.00 Original price was: ₹5,900.00.₹5,000.00Current price is: ₹5,000.00.
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BeagleBone Black Rev C
BeagleBone Black Rev C ₹7,670.00 Original price was: ₹7,670.00.₹6,500.00Current price is: ₹6,500.00.

Arduino UNO Q 4GB – AI Single Board Computer

₹7,080.00 Original price was: ₹7,080.00.₹6,000.00Current price is: ₹6,000.00.

Technical Specification Details

Parameter  Specification Details
High-Level MPU Core Qualcomm® Dragonwing™ QRB2210 (Quad-Core 64-bit ARM® Cortex®-A53 @ 2.0 GHz)
Real-Time MCU Core STM32U585 (ARM® Cortex®-M33 running up to 160 MHz with 2 MB Flash / 786 KB SRAM)
System Memories 4 GB LPDDR4 RAM + 16 GB onboard eMMC Flash Storage
Operating Systems Debian Linux (MPU Layer) + Zephyr RTOS with Arduino Core (MCU Layer)
Wireless Interfaces Dual-Band Wi-Fi 5 (2.4/5GHz) + Bluetooth 5.1 with integrated onboard antennas
USB Bus Routing Multi-role USB-C with Power Delivery (PD), device switching, and DisplayPort Video Out
Expansion Connectors Arduino UNO Shields, SparkFun Qwiic (3.3V I2C), MIPI-CSI Camera, and MIPI-DSI Display lines
Logic Working Voltage 3.3V System Logic (Pins are 5V tolerant for backward shield compatibility)
Input DC Power Tolerances 5V/3A over USB-C (Supports Power Delivery) or 7V to 24V DC input via VIN pin
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SKU: VE-047 Category: Arduino
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Description
Bridge the gap between advanced edge intelligence and hardware reliability with the Arduino UNO Q 2GB. This revolutionary dual-brain board pairs a high-performance Qualcomm Dragonwing MPU running Debian Linux with a low-power STM32 microcontroller handling real-time I/O control. Packed with 4GB of LPDDR4 RAM and 16GB of ultra-fast onboard storage, it acts as a standalone Linux computer capable of executing AI models, computer vision tasks, and Python workflows directly alongside your classic Arduino sketches. 
Key Product Features
  • Dual-Brain Architecture: Run heavy computer vision, Docker containers, and web frameworks on the 64-bit Linux processor while the secondary ARM Cortex-M33 MCU executes time-critical real-time hardware scripts simultaneously.
  • Edge AI & Computer Vision Ready: Integrated with a dedicated Adreno GPU and Dual Image Signal Processors (ISP) to handle local machine learning frameworks, face recognition, and media streaming over USB webcams. 
  • Next-Gen Arduino App Lab: Preloaded with the visual Arduino App Lab software to effortlessly orchestrate communication, python script variables, and pre-trained AI blocks across both processors. 
  • Built-in Layout Displays: Built right into the top PCB layout is a distinct 8×13 blue LED matrix screen and 4 customizable RGB user LEDs for running text banners, animation diagnostics, or notifications. 
  • Solderless Hardware Expandability: Combines classic UNO shield headers for older hardware extensions with a modern plug-and-play Qwiic connector interface for solderless sensor integration.
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