Bluvision Announces Machine Learning-enabled Condition Monitoring Solution
FORT LAUDERDALE, Fla., April 20, 2017
With Condition Monitoring fast becoming a requirement for Industry 4.0, Bluvision's solution allows factory and maintenance operations to lower their operation costs by focusing on Predictive Maintenance while reducing down-time to a minimum. Bluvision's Condition Monitoring solution requires minimal infrastructure and no servers or wired infrastructure, just sensor beacons and BluFis. The beacons are device agnostic and can attach to any asset including motors, conveyors, rollers, bearings, gear boxes and pumps. The intelligence is in Bluzone Cloud that manages the sensor beacons and the gateways, tracks telemetry info on the assets and provides the machine learning / A.I. logic.
"Using A.I., allows a user to track low-cost assets including bearings or rollers and truly understand when the specific asset will fail," said Jimmy Buchheim, CEO, Bluvision. "This is also the first time that a factory with thousands of motors and other assets with motion can be tracked concurrently, addressing the issue of scalability."
To learn about the A.I. enabled Condition Monitoring solution or to see the demo, visit Bluvision's booth at Hannover Messe – Hall 8, Booth # A29/1 and at Hall 9, Siemens, MindSphere Lounge. info@bluvision.com
About Bluvision
Bluvision is leading the innovation in the IoT space as market leaders in sensor beacons; software driven, highly-accurate RTLS; and the pioneers of achieving cloud connectivity without the need for smartphone applications. Bluvision's advanced architecture provides enterprises scalable solutions for tracking the location, health and performance of assets and employees. For more information, visit www.bluvision.com