Detecting asset location data anomalies
Abstract:
Processing location sensor data to detect location anomalies by defining a multi-cell overlay grid for a defined asset tracking area, determining a current location on the overlay grid for an asset according to location data, determining that a probability of transitioning from a previous location to the current location is below a threshold, registering the current location as an anomaly and updating the last known location of the asset to the current location.
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