MicroAI Factory Extends Edge-Native AI Into Manufacturing For Real-Time Analysis and Improved Overall Equipment Effectiveness

By Tiera Oliver

Associate Editor

Embedded Computing Design

March 07, 2022

News

MicroAI Factory Extends Edge-Native AI Into Manufacturing For Real-Time Analysis and Improved Overall Equipment Effectiveness

MicroAI announced the General Availability (GA) of MicroAI Factory.

MicroAI Factory is a fully integrated manufacturing software suite that leverages edge-native AI to ingest manufacturing floor data from existing systems and sensors to improve overall equipment effectiveness (OEE), real-time cycle time analysis, and predictive maintenance.

Deployed locally within an industrial computing appliance at a manufacturing or industrial site, MicroAI Factory ingests data from programmable logic controllers (PLCs) and sensors associated with machinery or humans within the production site. It then uses an edge-native AI engine to auto-develop cycle time analysis and behavioral models that provide deep insight into the operations of machines and human behavior. This modeling provides real-time analysis of performance, productivity, and uptime, while detecting operating anomalies and enabling alarms, ticketing, and maintenance scheduling from preset thresholds. 

MicroAI Factory is deployed at the edge within a small form factor computing appliance and is connected to PLCs and sensor systems within the factory or industrial facility. All processing, analysis, and storage of the data occurs in the facility premises, eliminating the data security and connection reliability challenges associated with cloud computing. 

Operation management is provided single point of command and control, while dashboards can be accessed in the facility via local area network (LAN), or offsite via the internet. Servers can be networked across multiple facilities to share insight without exposing data. MicroAI Factory can be deployed as a point solution within a single facility, or at multiple sites that operate independently but federate insight while still maintain data integrity at each individual site. 

For more information visit www.micro.ai.

Tiera Oliver, Associate Editor for Embedded Computing Design, is responsible for web content edits, product news, and constructing stories. She also assists with newsletter updates as well as contributing and editing content for ECD podcasts and the ECD YouTube channel. Before working at ECD, Tiera graduated from Northern Arizona University where she received her B.S. in journalism and political science and worked as a news reporter for the university’s student led newspaper, The Lumberjack.

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