Specifications
Form Factor
SMARC Rel. 2.1.1 system-on-module
SoC
Qualcomm Dragonwing IQ8 platform (IQ-8275 / QCS8275)
AI Acceleration
Up to 40 TOPS
Memory
Up to 32 GB LPDDR5 / LPDDR5X
Mass Storage
UFS 3.1, up to 1 TB
Ethernet
1 x Gigabit Ethernet plus 1 x 2.5 Gigabit Ethernet
Expansion Bus
PCIe Gen4
Camera Interface
MIPI-CSI
Fieldbus
CAN-FD
Development Path
Prototype on Arduino VENTUNO Q, then port to this module for volume production
Ecosystem Partners
Developed with Arduino and Qualcomm Technologies
Target Applications
Industrial automation, robotics, smart surveillance, smart infrastructure
Also Suited To
AI-enabled machine control, human-machine interfaces, industrial vision
Lifecycle
Industrial-grade with long-term availability focus
Positioning
Bridges Arduino prototyping to production-oriented industrial edge AI systems
Overview
The SECO SOM-SMARC-Dragonwing-IQ8 is a compact, industrial-grade SMARC Rel. 2.1.1 system-on-module built on the Qualcomm Dragonwing IQ8 platform. It pairs high-performance AI processing with industrial I/O for low-latency on-device inference in automation, robotics, surveillance and infrastructure equipment.
AI acceleration reaches up to 40 TOPS, backed by up to 32 GB of LPDDR5 or LPDDR5X memory and up to 1 TB of UFS 3.1 mass storage. Connectivity covers Gigabit and 2.5 Gigabit Ethernet, PCIe Gen4, MIPI-CSI camera interfaces and CAN-FD fieldbus - the combination most industrial vision and motion-control designs need.
The module was developed through SECO’s collaboration with Arduino and Qualcomm Technologies specifically to shorten the path from prototype to production: teams can develop on the Arduino VENTUNO Q platform and port the same application to the SMARC module for volume deployment, keeping the AI workload and software stack intact.
Key Benefits
40 TOPS of on-device AI enables real-time inference without cloud round-trips. SMARC Rel. 2.1.1 standard footprint plugs into a mature carrier-board ecosystem. Dual Ethernet including 2.5GbE, PCIe Gen4, MIPI-CSI and CAN-FD covers vision, motion and network requirements from one module. Arduino VENTUNO Q prototyping path removes the usual silicon-availability blocking risk, and up to 32 GB LPDDR5/X with 1 TB UFS 3.1 supports large models and datasets at the edge.
Applications
AI-enabled industrial robotics, smart machines and machine control, industrial vision systems, human-machine interfaces, smart surveillance, smart infrastructure, and automation equipment migrating from prototype to volume production.
Request a Quote — SECO SOM-SMARC-DRAGONWING-IQ8 — QUALCOMM IQ-8275 SMARC 2.1.1 MODULE
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