Condition Monitoring & Predictive Maintenance
Build condition monitoring and predictive maintenance
into components and equipment, running in real-time,
at the edge, on commodity MCUs.
Watch our Industrial Customer Use Case Video:
Reality AI and Siemens joint demonstration of the Ham-Let smart industrial valve
At Hannover Messe 2018, the world’s most important industrial tradeshow, Reality AI and Siemens, along with Ham-Let Group, revealed a joint solution using sound to detect what is happening inside a valve.
In this video, Shay Benchorin from Siemens MindSphere and Agmon Porat from Ham-Let explain how they used Reality AI Tools™ to train classifiers from acoustic data, and deployed them at the gateway level for real-time condition monitoring of the valve.
Make your machine a "Smart Machine" able to identify anomalies and predict:
Using any signal input alone or in combination:
Enable predictive maintenance on every component of a vehicle using real-time, edge AI
Automotive Tier 1 and Tier 2 suppliers around the world are using Reality AI to create smart components that:
From tires to the drive train, to windows and doors -- every single component on the vehicle, front bumper to rear, will soon be smart, lowering cost of operation and increasing reliability.
Learn more with our Technical Whitepaper
Explore the technical details behind the Reality AI approach to machine learning with signals