RuggON Unveils Rugged Vehicle-Mount Computer with Real-Time Data Processing and Predictive Analytics
August 18, 2025
News
RuggON, a subsidiary of Ubiqconn Technology, has made a couple of announcements recently about new products in AI for fleet management.
The company recently launched its Vortex VMC (vehicle mount computer) powered by the Intel Raptor Lake Core i5-1335UE up to 4.5GHz. The rugged AI ready platform delivers real-time data processing, predictive analytics, and enhanced automation. Connectivity includes 5G, 4G/LTE, and Wi-Fi benefitting from a collaboration with Iridium’s global satellite network offering dependable transmissions in remote environments.
Vortex VMC:
- Intel Raptor Lake Core i5-1335UE up to 4.5GHz
- Optional Intel Atom x7211E up to 3.2GHz
- DDR5 SDRAM up to 16GB
- M.2 2242 SSD up to 256GB
- Built-in 6-axis IMU sensors (Accelerometer + Gyroscope), 2 x speaker
- Windows 11 IoT Enterprise GAC / LTSC
Sean Lee, VP of RuggON Business commented, “By combining AI-driven analytics with our proven expertise in rugged design, we deliver solutions that help logistics operators stay productive, protect their assets, and adapt to the fast-evolving demands of global supply chains.”
The company will highlight its solutions for warehouse, fleet, and field operators at TILOG LOGISTIX 2025 (Booth No. A29). Featured will be AI Safety for driver behavior analysis and blind spot detection, as well as Smart Monitor featuring CAN bus and SAE J1939 compatibility supporting real-time diagnostics.
For more information, visit http://www.ruggon.com.
Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.
He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.
Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.
