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Arduino Uno Q 2GB

Original price was: ₹ 8,499.00.Current price is: ₹ 7,999.00.

Double the memory, infinite possibilities. The Arduino Uno Q 2GB supercharges your edge AI projects. With 2GB of LPDDR4 RAM driving its dual-brain architecture (Linux MPU + STM32 MCU), it effortlessly handles heavy computer vision models while delivering sub-millisecond real-time motor control.

Availability: 1 in stock

Welcome to the heavyweight division of microcontroller engineering. The Arduino Uno Q 2GB takes the groundbreaking dual-brain architecture of the Uno Q and injects it with a massive 2GB memory upgrade. Vetted for peak performance by our IIT Bhubaneswar-incubated engineering team, this is the definitive board for projects that refuse to compromise.

Running YOLO object detection? Processing live 1080p video feeds? The 2GB of onboard LPDDR4 RAM ensures your Linux environment has the breathing room to execute heavy machine learning algorithms without frame drops or system bottlenecks. Meanwhile, the dedicated STM32 real-time MCU continues to handle your physical hardware—servos, steppers, and sensor arrays—with absolute, uninterrupted precision. Whether you are outfitting a government-mandated PM Shri Robotics Lab or building an autonomous B.Tech rover, the Uno Q 2GB is your ultimate foundation.

Detailed Attributes:

  • Memory (RAM): 2GB LPDDR4 (High-speed, low-power)

  • Architecture: Dual-Brain (Linux + Real-Time)

  • Microprocessor (MPU): Qualcomm Linux MPU (Optimized for Edge AI/ML)

  • Microcontroller (MCU): STM32 Real-Time MCU

  • Wireless Connectivity: Built-in WiFi and Bluetooth Low Energy (BLE)

  • Camera Interface: Dedicated MIPI CSI Camera connector for high-speed, raw video processing

  • Hardware Acceleration: Integrated AI hardware accelerator for neural networks

  • Operating Voltage: 5V / 3.3V Logic

  • Form Factor: Classic Arduino Uno Footprint (Backwards compatible with most standard Uno shields)

  • Best For: Heavy Computer Vision, Neural Networks, IoT Edge Gateways, Autonomous Drones, Advanced Robotics

     

Detailed Attributes:

Memory (RAM): 2GB LPDDR4 (High-speed, low-power)

Architecture: Dual-Brain (Linux + Real-Time)

Microprocessor (MPU): Qualcomm Linux MPU (Optimized for Edge AI/ML)

Microcontroller (MCU): STM32 Real-Time MCU

Wireless Connectivity: Built-in WiFi and Bluetooth Low Energy (BLE)

Camera Interface: Dedicated MIPI CSI Camera connector for high-speed, raw video processing

Hardware Acceleration: Integrated AI hardware accelerator for neural networks

Operating Voltage: 5V / 3.3V Logic

Form Factor: Classic Arduino Uno Footprint (Backwards compatible with most standard Uno shields)

Best For: Heavy Computer Vision, Neural Networks, IoT Edge Gateways, Autonomous Drones, Advanced Robotics

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