HomeElectronics NewsSmall Module for AI and Edge Systems

Small Module for AI and Edge Systems

A small module helps devices run AI, process video, connect sensors, and manage tasks directly on the device.

AAEON Leverages Qualcomm Dragonwing QCS6490 for its latest SMARC Module, the uCOM-Q6490
AAEON Leverages Qualcomm Dragonwing QCS6490 for its latest SMARC Module, the uCOM-Q6490

AAEON has introduced the uCOM-Q6490, a SMARC module based on Qualcomm Dragonwing QCS6490 processors for compact embedded and edge computing systems.

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It is AAEON’s first product based on Qualcomm technology and uses an 8-core Qualcomm Kryo 670 CPU built on Arm v8 Cortex technology. The module provides up to 12 TOPS of AI performance through the integrated Qualcomm Hexagon 770 NPU, allowing developers to run AI workloads locally, including image analysis, object detection, and other computer vision tasks.

The module supports up to 16GB of soldered LPDDR5 memory, 64GB of UFS storage, SD cards through SDIO 3.0, and PCIe Gen 3 for expansion.

Built around the 82mm x 50mm SMARC 2.1 standard, the uCOM-Q6490 is intended for manufacturers and system developers building space-constrained products. Its compact form allows it to serve as the computing core inside larger systems.

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Digital signage manufacturers can use it to power displays, process video, and add local AI features. Healthcare equipment makers can integrate it into portable imaging systems for processing and displaying medical images.

The module also targets robotics applications. Its two Gigabit Ethernet ports, three I2C interfaces, two SPI interfaces, and five USB interfaces can connect LiDAR sensors, IMUs, cameras, robotic controllers, and other peripherals. This allows robotic systems to collect sensor data, process camera feeds, run AI models, and communicate with controllers.

The integrated Qualcomm Adreno 643 GPU and video processing capabilities support multi-format video encoding and playback, which can be used for camera and other video workloads.

The standard operating temperature range is 0°C to 60°C, with a wider -40°C to 85°C range available upon request for systems requiring broader temperature support.

Click here for the original announcement.

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Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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