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 for sensor fusion:
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.