MicroAI has announced the General Availability of MicroAI Factory. This fully integrated manufacturing software suite employs 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.
Deployed locally within an industrial computing appliance at a manufacturing or industrial site, suite ingests data from PLCs and sensors associated with machinery or humans within the production site. It then employs an edge-native AI engine to auto-develop cycle time analysis and behavioural models that give deep insight into the operations of machines and human behaviour. This modelling offers real-time performance, productivity, and uptime analysis while detecting operating anomalies and allowing alarms, ticketing, and maintenance scheduling from preset 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.”
Philippe Cases, CEO of Topio Networks, said: “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. MicroAI is the first hassle-free manufacturing software company.”
The suite 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 data processing, analysis, and storage occur in the facility premises, eradicating the data security and connection reliability challenges of cloud computing.
Operation management is provided with a single point of command and control, while dashboards can be accessed in the facility via LAN or offsite through the internet. Servers can be networked over multiple facilities to share insight without exposing data. It can be deployed as a point solution within a single facility or at various sites that operate independently but federate insight while maintaining data integrity at each location.