Analytics And Machine Learning Fill A Void In The Old Android

FogHorn launches Lightning Mobile, what it is calling the industry’s first edge computing solution built specifically for industrial mobile devices using the Android platform. The application provides 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 goal of this approach is to enable 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. 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.

Free Monthly Newsletter

Compelling read? Subscribe to FierceEmbeddedTech!

The embedded tech sector runs the market’s trends. FierceEmbeddedTech subscribers rely on our suite of newsletters as their must-read source for the latest news, developments and analysis impacting their world. Sign up today to get news and updates delivered to your inbox and read on the go.

 

The company’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 on the device and an efficient way to process digital, audio, video, and image-based content. To learn more, take a closer look at Lightning Mobile.

Suggested Articles

Renesas has introduced an evaluation and prototyping kit that will speed time-to-market to create secure end-to-end IoT cloud solutions for sensor-based…

According to market research firm ABI Research, global shipments of secure embedded hardware will double until 2023, surpassing 4 billion units.

Free Topology 6050 SoC allows two popular industrial protocols to communicate simultaneously