Asus uses this booth tour to show how its NUC-based edge AI PCs run compact multimodal models for traffic, retail and manufacturing analytics. Around 1-billion-parameter vision models run directly on Intel Core Ultra powered Asus NUC systems, while larger workloads can move to NUC Performance class hardware with more GPU and memory bandwidth. A live demo combines video analytics with a chatbot-style interface so operators can type queries such as “red car” or “pedestrian” and instantly jump to the exact segment where those objects appear, all processed at the edge on small form factor systems. https://iot.asus.com/
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The tour then moves into predictive maintenance, where Asus IoT vibration sensors stream time-series data into compact edge gateways that host the AI models instead of a remote data center. These fanless industrial gateways aggregate many small sensors, run anomaly detection locally and only forward summarized metrics and alarms into the cloud, reducing bandwidth while catching early signs of wear on motors and other rotating equipment. Underneath those gateways sits a portfolio of long-life industrial motherboards and networking components across 3.5″ SBC, Mini-ITX and Micro-ATX form factors, designed for wide-temperature, 24/7 use and multi-year availability in industrial deployments.
Filmed at Embedded World North America 2025 in Anaheim, the walkthrough also explores computer-vision workloads in surveillance and retail. AI cameras running on Asus NUC edge systems segment people with colored overlays, track object geometry and feed dashboards for occupancy and safety analytics. A concrete example is an AI checkout system already deployed in airport convenience stores at hubs such as LAX and JFK, where a camera-based model identifies products on a tray without needing to see barcodes, enabling fast self-checkout using object detection and product classification instead of traditional scanners.
On the compute side Asus highlights both edge servers and specialized medical systems. A short-depth 1U AI server handles higher-throughput inferencing at the network edge, while the MDS-M700 medical-grade box PC brings 4K UHD AI imaging, IEC 60601-class safety and ultra-quiet operation into operating rooms and radiology suites, where it can host imaging models and accelerator cards for segmentation or detection tasks. Medical and factory panel PCs act as the smart-factory and hospital front end, running SCADA-style software and HMI dashboards on rugged touch displays that are built for continuous operation.
The final section looks at vision AI in manufacturing and healthcare workflows. Using a ROCK 1000 edge system for in-line inspection, Asus demonstrates real-time defect detection on materials, marking anomalies as they move past the camera for immediate operator feedback. A partner demo from Dhouse streams medical images from scanners to an Asus box PC for instant quality checks and remote expert review, while a compact M700 platform is shown monitoring patient rooms to detect when someone attempts to get out of bed and proactively alert nurses. Together these use cases position Asus IoT as a bridge between AI PCs, industrial edge compute and domain-specific applications in smart factories, retail, transportation and healthcare.
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