Edge computing solution for industrial mobile devices arrives
|Richard Harris in IoT Friday, March 29, 2019|
FogHorn makes an entrance into the mobile Industrial IoT market, bringing real-time AI capabilities to millions of operators and billions of battery powered devices.
FogHorn released Lightning Mobile, an edge computing solution built specifically for industrial mobile devices.
According to GSMA Intelligence, Industrial IoT connections will overtake consumer IoT connections in 2023, increasing more than five-fold to 13.8 billion in 2025. This is driven by a number of factors, including the emergence of LTE-M, NB-IoT, and 5G, the benefits of leveraging battery powered, low-cost devices, portability and re-configuration flexibility, growth in high-density deployments and the coverage and security benefits of mobile technologies.
Lightning Mobile empowers 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. This approach 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 FogHorn’s software. Additionally, support for edge-based deep learning model inferencing solves critical issues such as image recognition of bar codes and health and battery monitoring of high-volume deployments of mobile devices. The company has also launched a broad ecosystem initiative to expand the universe of applications that can run on Lightning Mobile.
“Over 85% of mobile operating systems worldwide are Android,” said Mike Guilfoyle, Director of Research at 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, 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 delivers a highly 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 at 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.”