AI software provides insight into productivity

Integrated manufacturing software has been released by MicroAI which extends edge native AI into the manufacturing environment. MicroAI Factory provides real time analysis and deep insight into machine and human productivity, says the company.

The software suite leverages edge-native AI to ingest manufacturing floor data from existing systems and sensors to improve overall equipment effectiveness, real time cycle time analysis and predictive maintenance, confirmed MicroAI.

For local deployment 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 uses an edge-native AI engine to auto-develop cycle time analysis and behavioural models that provide deep insight into the operations of machines and human behaviour. This modelling provides real time analysis of performance, productivity, and uptime, while detecting operating anomalies and enabling alarms, ticketing, and maintenance scheduling from pre-set thresholds.

“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. “Ultimately, MicroAI Factory will transform equipment from human-managed to self-managed.”

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 as 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 for an overview while still maintaining data integrity at each individual site.

Based in Dallas, Texas, USA, MicroAI specialises in edge-native AI and machine learning (ML). 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. The company’s software is deployed within edge appliances aggregating data from multiple machines, as well as embedded on microcontrollers (MCUs) and microprocessors (MPUs) within an individual machine. MicroAI’s software is used by manufacturing and industrial processing companies, original equipment manufacturers (OEMs), and asset owners to predict failures, identify security issues, and improve life-cycle management and overall equipment effectiveness (OEE).

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