VIA, Foghorn join forces on edge computing

VIA, Foghorn join forces on edge computing

Partners |
Taiwan-based manufacturer of embedded AI systems, VIA Technologies, has partnered with FogHorn, a Mountain View, Calif. Based developer of software for industrial and commercial Internet of Things (IIoT) solutions. Together, the duo plans to enable edge intelligence in VIA Edge AI systems for a broad range of applications, including in the field of autonomous driving and smart city.
By Christoph Hammerschmidt


FogHorn’s Lightning product portfolio is addressing industrial IoT (IIoT) and edge computing by embedding edge intelligence directly into small-footprint IIoT devices as close to the source of streaming data as possible. It provides a highly compact, advanced and feature-rich edge intelligence solution that delivers very low latency for onsite data processing, real-time analytics, ML and AI capabilities. Typical applications include face and object recognition, 360°surround view and Advanced Driver Assistance Systems (ADAS)

The integration of FogHorn’s industry-leading edge intelligence into VIA Edge AI systems will enable our customers to accelerate the deployment of edge-to-cloud solutions for a myriad of industrial, transportation, and smart city applications,” explained Richard Brown, Vice-President of International Marketing, VIA Technologies, Inc. “The combined solution will open up a plethora of opportunities for them to reduce costs, increase efficiencies, and optimize business outcomes.”

The solutions will run on a wide range of ruggedized small footprint systems, such as VIA Amos and VIA Artigo systems powered by the NXP i.MX 6DualLite ARM Cortex-A9 SoC and Qualcomm Snapdragon 820E Embedded Platform. Available in variety of configurations, the systems combine compute and video performance with rich I/O and connectivity features. Low power consumption, fanless operation, wide temperature and voltage ranges, and a host of customization options make them the systems ideal for industrial IoT and Edge AI deployments in the most demanding environments.

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