LP-VISOR Industry 4.0 Augmented Maintenance System

Video created by slimbaltagi on Dec 9, 2017

    Video recording of the demo related to a talk given by Mathieu Dumoulin at Big Data Analytics Tokyo 2017. 
    Real-time IoT sensor data collected from on a working, moving robot is used to predict failure using anomaly detection with autoencoders with H2O, all running on the MapR Converged Platform and MapR Streams (a Kafka superset implementation). This drives an AR headset to visualize the results (green OK red FAILURE) on a marker attached to the robot.