Welcome to the absolute apex of the Uno Q lineup. The Arduino Uno Q 4GB is engineered for industrial-grade edge AI, massive neural networks, and uncompromising performance. When standard memory just isn’t enough for your complex datasets and live multithreaded machine learning models, this 4GB powerhouse steps in.
Running a heavy Linux OS alongside complex YOLOv8 object detection, multiple live high-definition camera feeds, and real-time robotic kinematics requires serious memory bandwidth. With 4GB of ultra-fast LPDDR4 RAM, the onboard Qualcomm Linux MPU has unparalleled headroom to execute heavy computational tasks, while the dedicated STM32 real-time MCU continues to orchestrate your servos, steppers, and sensors flawlessly. If you are building an advanced autonomous drone, an industrial sorting robot, or the ultimate flagship project for your B.Tech final year or PM Shri Robotics Lab, the Uno Q 4GB is the only board you will ever need.
Detailed Attributes:
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Memory (RAM): 4GB LPDDR4 (Maximum capacity for heavy edge ML)
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Architecture: Dual-Brain (Linux + Real-Time)
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Microprocessor (MPU): Qualcomm Linux MPU (Optimized for Edge AI/ML)
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Microcontroller (MCU): STM32 Real-Time MCU
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Wireless Connectivity: Built-in WiFi and Bluetooth Low Energy (BLE)
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Camera Interface: Dedicated MIPI CSI Camera connector for high-speed, raw video processing
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Hardware Acceleration: Integrated AI hardware accelerator for advanced neural networks
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Operating Voltage: 5V / 3.3V Logic
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Form Factor: Classic Arduino Uno Footprint (Backwards compatible with standard Uno shields)
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Best For: Industrial Edge AI, Complex Neural Networks, Multi-Camera Vision Systems, Autonomous Robotics, and IoT Gateways.












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