Systems and methods for navigating and monitoring infrastructure using acoustic signals
AssigneeVerizon Patent and Licensing Inc.
InventorsSumanth S. MALLYA, Haris KALLIPARAMBIL MOHAMADALI, Sanoop Raj PUSHPARAJAN SUVARNA
Life of this patent
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Abstract
A device may receive terrestrial data and location data at multiple locations within an infrastructure and during different time periods, and may overlay the terrestrial data and the location data on a floor plan of the infrastructure to generate an terrestrial map for the infrastructure. The device may store the terrestrial map in a data structure associated with the device, and may train a machine learning model, with the terrestrial data, the location data, and the terrestrial map, to generate a trained machine learning model. The device may perform one or more actions using the trained machine learning model.
Claims20
A method, comprising:
- receiving, by a device, terrestrial data and location data at multiple locations within an infrastructure and during different time periods;
- overlaying, by the device, the terrestrial data and the location data on a floor plan of the infrastructure to generate an terrestrial map for the infrastructure;
- storing, by the device, the terrestrial map in a data structure associated with the device;
- training, by the device, a machine learning model, with the terrestrial data, the location data, and the terrestrial map, to generate a trained machine learning model;
- and
- performing, by the device, one or more actions using the trained machine learning model.
A device, comprising:
- one or more processors configured to:
- receive terrestrial data and location data at multiple locations within an infrastructure and during different time periods;
- overlay the terrestrial data and the location data on a floor plan of the infrastructure to generate an terrestrial map for the infrastructure;
- store the terrestrial map in a data structure associated with the device;
- provide the terrestrial map to a mobile edge computing device;
- train a machine learning model, with the terrestrial data, the location data, and the terrestrial map, to generate a trained machine learning model;
- and
- perform one or more actions using the trained machine learning model.
A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:
- one or more instructions that, when executed by one or more processors of a device, cause the device to:
- receive terrestrial data and location data at multiple locations within an infrastructure and during different time periods,
- wherein the terrestrial data and the location data is received from a user device at the multiple locations of the infrastructure during the different time periods;
- overlay the terrestrial data and the location data on a floor plan of the infrastructure to generate an terrestrial map for the infrastructure;
- store the terrestrial map in a data structure associated with the device;
- train a machine learning model, with the terrestrial data, the location data, and the terrestrial map, to generate a trained machine learning model;
- and
- perform one or more actions using the trained machine learning model.
Dependencies are inferred from the claim text.