The Wireless Registry, Inc.

Pwc Product Sales LLC

Eric Stanculescu

Srdjan Marinovic

Stillman Bradish

Rebecca E Cohen

Anne E Morrow

Kristopher E Herring

Robert T Rogers

Disclosed herein are embodiments of systems, methods, and products that generate semantic resolutions of wireless signals. An analytic server may train a plurality of inductive classifiers generate a respective set of deduction rules. For example, the analytic server may train a first inductive classifier to mine a first set of deduction rules matching service set identifiers (SSIDs) with business entities. As another example, the analytic server may train a second inductive classifier to mine a second set of deduction rules matching proximal groupings of wireless signals (also referred to as hyperclusters) with business entities. Upon receiving an unresolved wireless signal, the analytic server may apply at least one of the first and second set of deduction rules to assign a semantic meaning to the wireless signal.

Systems and methods for automatic resolutions of wireless signals

Systems and methods for creating pattern awareness and proximal deduction of wireless devices is disclosed. The methods allow wireless awareness among a plurality of wireless signals and the ability of assigning meaning to a group of wireless signals associated with an observing WED, or wireless signal detector and take action based on the meaning.

Systems and methods for creating pattern awareness and proximal deduction of wireless devices

Disclosed herein are embodiments of systems, methods, and products comprise an analytic server, which tracks and locates electronic devices (e.g., wireless devices and devices enabled with wireless transmitters). The analytic server monitors wireless signals detected by different observer devices at different time points. The analytic server analyzes the wireless signals to build signal graph and generate hyperclusters. When the analytic server receives a request of finding a lost/missing device, the analytic server receives observations from observer devices that detect the wireless signals from the missing device, determine signal context (e.g., hypercluster) and geolocation of the missing device based on observations from observer devices, performs resolution to narrow down the geolocation. The analytic server also combats different forms of active attacks. The analytic server generates a graphical user interface comprising the location information of the missing device.

Systems and methods for locating or tracking devices using proximal groupings of devices

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Washington, DC, United States of America

Eric Stanculescu