MicroAI Factory is reported to reduce downtime, improve quality, and improve overall equipment effectiveness

 March 3, 2022

DALLAS—A manufacturing software suite from MicroAI reportedly leverages edge-native AI to ingest manufacturing floor data from existing systems and sensors and improve overall equipment effectiveness (OEE), real-time cycle time analysis, and predictive maintenance.

MicroAI Factory, deployed locally within an industrial computing appliance at a manufacturing site, 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 said in a release.

“MicroAI Factory improves overall equipment effectiveness for manufacturers by providing a holistic, real-time cycle-time analysis of operations and providing advanced, early anomaly detection to predict potential failures and performance issues,” said Yasser Khan, CEO of MicroAI, in the release. “Ultimately, MicroAI Factory will transform equipment from human-managed to self-managed.”

Philippe Cases, CEO of Topio Networks, a prominent industry catalyst that tracks Industry 4.0 and the hyperconnected world, also weighed in on the software.

“In addition to innovating with AI on the shop floor, MicroAI doesn’t create any additional work to maintain the application on site, thereby significantly lowering the cost of ownership for predictive maintenance applications,” Cases said in the release. “MicroAI is the first hassle- free manufacturing software company.”

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. 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, the company said in the release.

Operation management is provided via 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 maintaining data integrity at each individual site, according to the release.

MicroAI™ is a developer of edge-native artificial intelligence (AI) and machine learning (ML) software. The company’s mission is to automate the management of machines, enable them to self-monitor and self-report, and provide the most accurate information on machine health. Its software is deployed within edge appliances aggregating data from multiple machines, and is also embedded on microcontrollers (MCUs) and microprocessors (MPUs) within individual machines, the company said.

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