FogHorn, a developer of edge intelligence software for industrial and commercial Internet of Things (IoT) solutions, recently announced the release of Lightning Mobile, an edge computing solution built specifically for industrial mobile devices.
Lightning Mobile is designed to empower operational technology (OT) and field professionals with real-time analytics, machine learning (ML) and AI on mobile, battery-powered devices, without having to rely on connectivity to the cloud, speeding decision making and industrial workflow. The company said that this approach can enable a class of edge intelligence applications not possible with devices restricted to fixed locations, while making it easier to build and market off-the-shelf common solutions using FogHorn’s software. In addition, edge-based deep learning can solve critical issues such as image recognition of bar codes and health and battery monitoring of high-volume deployments of mobile devices.
“Over 85 percent of mobile operating systems worldwide are Android,” said Mike Guilfoyle, Director of Research, ARC Advisory Group. “For FogHorn’s customers, more of their operations technology staff can leverage edge intelligence for real-time analytics in the field, without the restriction of fixed-position devices. By enabling OT-staff access to edge computing on handheld Android devices, it will expand the pool of thinking about what is possible at the edge. This will inevitably lead to new use cases for industrial and commercial organizations.”
FogHorn’s Android App provides the core analytics and ML capability on the live data, and also supports ingestion of all the Android event data coming from various sources, which reportedly provides an operator-friendly view of actionable insights right on the device and a delivers an efficient way to process digital, audio, video and image-based content.
“We are extremely excited to bring FogHorn’s next wave of edge computing innovation to market with Lightning Mobile, pushing real time analytics and AI to OT professionals through their mobile devices.” said Sastry Malladi, CTO, FogHorn. “This will unleash a wave of new industrial use cases including next-generation bar code scanners, portable factory environmental monitors, manufacturing using a high-density of devices such as smart screwdrivers, advanced fleet applications and more. We see a tremendous global opportunity for this technology.”
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Edited by Ken Briodagh