FogHorn, an edge intelligence software solution provider for Industrial Internet of Things (IIoT), as per recent reports, has announced the launch of its Lightning Mobile solution, an edge computing software solution designed especially for the industrial mobile, battery-powered devices.
The Lightning Mobile solution enables real-time analytics, machine learning (ML) and AI on mobile devices, without relying on cloud connectivity, thus empowering both the operational technology (OT) and field professionals with speedy decision making and smooth industrial workflow.
Moreover, FogHorn claims that this innovative – without relying on cloud connectivity -approach can enable an entirely new class of edge intelligence applications, which was not the case with devices restricted to fixed locations. The company says that this approach makes it easier for developers to build and market their off-the-shelf common solutions using FogHorn’s software. Edge-augmented deep learning is the solution to critical issues such as bar code image recognition and device health and battery drainage monitoring of high-volume mobile device deployments.
“Over 85 percent of mobile operating systems worldwide are Android,” stated 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.”
“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,” added 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.”