Litmus Automation Integrates Off-the-Shelf Analytics Functions in LoopEdge IoT Edge Computing Platform

By Brandon Lewis

Editor-in-Chief

Embedded Computing Design

November 25, 2019

News

Litmus Automation Integrates Off-the-Shelf Analytics Functions in LoopEdge IoT Edge Computing Platform

Ready Analytics is a purpose-built analytics dashboard that reduces setup and configuration time for a variety of industrial analytics functions.

Litmus Automation has launched “Ready Analytics” for its LoopEdge Industrial IoT Edge Computing Platform. Ready Analytics is a purpose-built analytics dashboard that reduces setup and configuration time for a variety of industrial analytics functions, such as:

  • Time-Series Data Analysis for monitoring the average, maximum/minimum, and summation of inputs over time.
  • Live Data Feeds to Machine Learning Models that accelerate the training of high-accuracy outputs for anomaly detection, prediction, etc.
  • Ready-to-go KPIs that measure asset utilization, equipment uptime/downtime, cycle time ratio, compliance, etc.
  • Special Functions for statistical anomaly detection, prediction, and mathematical expression. 

The LoopEdge solution can scale across horizontal implementations such as general plant monitoring as well as vertical integrations such as CNC monitoring. Once LoopEdge is installed, users can apply the aforementioned Ready Analytics functions to data as soon as it is collected and normalized, then integrate and visualize the results in on-premise or cloud-based platforms.

For more information litmusautomation.com/en/loopedge.

Brandon is responsible for guiding content strategy, editorial direction, and community engagement across the Embedded Computing Design ecosystem. A 10-year veteran of the electronics media industry, he enjoys covering topics ranging from development kits to cybersecurity and tech business models. Brandon received a BA in English Literature from Arizona State University, where he graduated cum laude. He can be reached at [email protected].

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