The recently released UNO Q single-board computer from Arduino, which helps foster AI-driven machine-vision and -sound solutions in IoT and other devices, bridges high-performance computing with real-time control. Features include a “dual brain” architecture with a Linux Debian-capable Qualcomm Dragonwing QRB2210 microprocessor , plus a real-time STM32U585 microcontroller from STMicroelectronics.
Offering integrated AI acceleration with camera, display, and audio support, the QRB2210 microprocessor serves next-gen robotics and IoT products. The compact, cost-effective UNO Q leverages a quad-core 2.0-GHz CPU, Adreno GPU, and 2x ISP.
The ABX00162 UNO Q features 2 GB of RAM and 16 GB of onboard eMMC storage, and the pre-loaded Arduino App Lab offers developers an open-source platform to rapidly develop AI-powered solutions.
Integration of App Lab with the Edge Impulse platform also helps streamline and accelerate the process of building, fine-tuning, and optimizing AI models. Real-world data is used for a wide range of applications, such as object/human detection, anomaly detection, image classification, ambient sound recognition, and keyword spotting.
The UNO Q comes with a pre-installed wireless module for dual-band Wi-Fi 5 (2.4/5 GHz) and Bluetooth 5.1 for wireless connectivity, with classic UNO headers, high-speed bottom headers, and a Qwiic I2C connector for easy expansion. Furthermore, the SBC includes an onboard USB-Type C connector with power-delivery input and video output, and an 8×13 LED matrix for visual creation and feedback.
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