Elecrow Starter Bundle Kit for Arduino UNO Q with Expansion Dock, US Plug

Arduino, as an open-source hardware platform, is a favorite of makers and educators for its ease of use and broad ecosystem. Within that lineup, the Arduino UNO Q stands out for its compact size, stable performance, and standard pin compatibility, making it a solid pick for lightweight development work.

This kit bundles a standardized three-in-one combination: UNO Q main controller, expansion dock, and standard PD power supply, so there's nothing else to source separately. PD 5V/3A fast charging gives stable, versatile output, and the expansion dock clears up the wiring clutter that usually comes with a bare main controller.

The kit runs on the UNO Q's heterogeneous dual-core platform (Qualcomm QRB2210 MPU + STM32U585 MCU), paired with a full-featured Type-C expansion dock and a PD fast-charging power supply. The MPU runs Linux Debian and handles AI inference, networking, and video processing. The MCU runs Zephyr/Arduino and handles sensors, actuators, and precise timing. The two communicate over Bridge RPC.

The Starter Bundle gets you to interactive development out of the box, balancing reliability, compatibility, and cost, and fits beginner developers, teaching and training, and quick prototyping.

Key Highlights

• Three-in-one bundle: main controller, dock, and PD power supply
• Dual-core platform: Qualcomm QRB2210 MPU + STM32U585 MCU
• Onboard NPU for local AI inference, no cloud required
• 32GB eMMC storage, faster than a typical SD card
• Native USB, driverless plug and play
• PD 5V/3A power adapter included
• 11-in-1 docking station with Ethernet, USB hub, and HDMI
• Acrylic case included for protection

Key Features

• Three-in-One Minimalist Package
  Standardized main controller, docking station, and PD power supply in one bundle. No separate parts to pick out, ready to use out of the box.
• Onboard NPU for Local AI Inference
  A dedicated Neural Processing Unit runs lightweight inference on the board itself, for tasks like image classification, keyword wake-up, and sensor anomaly detection, with no cloud connection needed.
• 32GB eMMC High-Speed Storage
  Built-in eMMC flash reads and writes far faster than a typical SD card, holding model files, datasets, and logs, and speeding up boot and program loading.
• Native USB, Plug and Play
  The onboard USB interface is recognized without extra drivers, so it's ready to use as soon as it's connected to a computer.
• PD 5V/3A Standard Power Supply
  Included PD adapter gives stable output and works with common charging setups, avoiding power-related glitches or dropouts.
• Integrated Docking Station
  An 11-in-1 dock with 100Mbps Ethernet covers networking, USB hub, and HDMI video output in one connection.
• Acrylic Case Included
  A clear acrylic shell protects the board from physical damage while staying compact and portable.

Applications

• Beginner development and STEM education
• Teaching and training programs
• Rapid prototyping
• Local AI inference projects: image classification, keyword wake-up, anomaly detection

Technical Specifications

Why Choose This Bundle?

This bundle removes the guesswork of putting together a UNO Q setup: the main board, dock, and power supply arrive matched and ready to go. The onboard NPU runs AI inference locally, the dual-core MPU/MCU split keeps real-time control separate from Linux workloads, and the included acrylic case and dock keep the whole setup tidy on a desk. It's a solid starting point for beginners, classrooms, and fast prototyping.

Package List

• 1x Arduino UNO Q 4GB
• 1x Expansion Dock
• 1x HDMI to HDMI 1m Cable
• 1x 25W PD Adapter (5V/3A, 9V/2.77A)
• 1x Acrylic Case
• 1x User Manual

Technical Documents

• User Manual

Arduino is a registered trademark of Arduino S.r.l. USB-C is a registered trademark of USB Implementers Forum. HDMI is a trademark or registered trademark of HDMI Licensing Administrator, Inc. MCCI and MCCI Catena are registered trademarks of MCCI Corporation. All other trademarks are the property of their respective owners.