Sensor Cognition for Making Sense of Beacon Data

As mentioned yesterday, in the Mr Beacon interview with Ajay Malik, beacon positioning and sensor data will be increasingly used as input for AI machine learning (ML). Beacons are a great way of providing the large amounts of data required of ML.

At BeaconZone, we have recently started using beacon data in machine learning. This has been a natural progression of use of our BeaconRTLS to collect large data sets. We have a new subsidiary Sensor Cognition that provides services to extract and use intelligence from sensor data. Unlike most other ML companies, we aren’t interested in computer vision, speech and language recognition, even though the first two could be inferred to be from sensor data. Instead, we specialise in extracting intelligence from industry time series position and sensor data.

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