Android IIoT app brings real-time AI to mobile

April 02, 2019 //By Rich Pell
FogHorn Industrial IoT app for Android brings real-time AI to mobile
Industrial IoT edge intelligence software developer FogHorn (Sunnyvale, CA) has announced the release of what it claims is the industry’s first edge computing solution built specifically for industrial mobile devices.

The FogHorn Lightning Mobile app for Android is designed to empower operational technology (OT) and field professionals with real-time analytics, machine learning (ML), and artificial intelligence (AI) on mobile battery-powered devices, without having to rely on connectivity to the cloud. This approach, says the company, enables a new class of edge intelligence applications not possible with devices restricted to fixed locations, while making it easy to build and market off-the-shelf common solutions using its software.

"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," says Sastry Malladi, CTO at FogHorn.

The app, in addition to providing the core analytics and ML capability on the live data, supports ingestion of all the Android event data coming from various sources. This provides an operator-friendly view of actionable insights right on the device, and, says the company, delivers a highly efficient way to process digital, audio, video, and image-based content.

The company has also launched a broad ecosystem initiative to expand the universe of applications that can run on Lightning Mobile.

FogHorn


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