Starter Bundle Kit for Arduino UNO Q with Expansion Dock

Description

Arduino, as an open-source hardware development platform, has become the preferred choice for makers and educators due to its ease of use and comprehensive ecosystem. Among them, the Arduino UNO Q, with its compact size, stable performance, and standard pin compatibility, has become the mainstream choice for lightweight development scenarios.

This kit adopts a standardized three-in-one combination of "UNO Q main controller + expansion dock + standard PD power supply," eliminating the hassle of users selecting individual components. PD 5V/3A fast charging offers strong versatility and stable output, while the expansion dock solves the cumbersome wiring issues of the main controller in one stop, forming an efficient hardware closed loop.

The kit is based on the UNO Q heterogeneous dual-core platform (Qualcomm QRB2210 MPU + STM32U585 MCU), integrating a full-featured Type-C expansion dock and a PD fast charging power supply. The MPU runs Linux Debian, handling AI inference, network communication, and video processing; the MCU runs Zephyr/Arduino, specializing in sensors, actuators, and precise timing. The two cores collaborate seamlessly via Bridge RPC.

The Starter Bundle for Arduino UNO Q enables out-of-the-box intelligent interactive development, balancing security, compatibility, and cost-effectiveness, making it an ideal choice for beginner developers, teaching and training, and simple prototyping.

Feature

• Three-in-one minimalist package: Standardized main controller + docking station + PD power supply, eliminating tedious selection, ready to use out of the box, keeping your desktop cleaner.
• Onboard NPU, localized AI inference: Equipped with an independent Neural Processing Unit (NPU), supporting the direct execution of lightweight inference frameworks on the board, enabling AI functions such as image classification, keyword wake-up, and sensor anomaly detection without cloud dependencies.
• 4GB eMMC high-speed storage: Built-in 4GB eMMC flash memory, with read and write speeds far exceeding traditional SD card solutions, capable of storing model files, datasets, and runtime logs, meeting the needs of continuous learning and data recording applications, while improving system startup and program loading speeds.
• Native USB, plug and play: Onboard native USB interface, supporting driverless recognition, no additional driver installation is required after connecting to a computer, ready to use out of the box, greatly reducing the learning curve for beginners.
• PD 5V/3A standard power supply: Includes a PD 5V/3A power adapter, providing stable output and compatibility with mainstream charging devices, avoiding program malfunctions or peripheral power outages caused by unstable power supply.
• Integrated docking station connectivity: Comes with an 11-in-100Mbps Ethernet docking station, providing a one-stop solution for multiple connectivity needs including network access, USB hub, and video output (HDMI).
• Acrylic shell protection, portable and durable: Standard transparent acrylic shell effectively protects the circuit board from physical damage, balancing portability and durability.

Dual-brain platform

The UNO Q integrates two independent processing units: a Qualcomm Dragonwing™ QRB2210 MPU and an STM32U585 MCU. The MPU runs a full Linux Debian system and is responsible for networking, video processing, and advanced logic; the MCU is dedicated to sensors, actuators, and precise timing, ensuring that critical control loops are not interfered with by background tasks, achieving industrial-grade real-time reliability.

Integrated AI Acceleration

The UNO Q integrates a quad-core 2.0 GHz CPU, Adreno GPU, and dual ISPs, designed specifically for on-device machine learning. It supports camera, display, and audio, and can perform AI tasks such as object detection and gesture recognition locally. 4GB of RAM ensures smooth inference across multiple models.

Specification

Package List

• 1x Arduino UNO Q 4GB
• 1x Expansion Dock
• 1x HD to HD 1m Cable
• 1x PD Adapter(5V/3A)
• 1x Acrylic Case
• 1x User Manual

Wiki & External links

• Wiki
• User Manual