Abstract: Systems and methods for location identification and tracking of a person, object and/or vehicle. The methods involve: obtaining, by a computing system, a video of a surrounding environment which was captured by a portable camera coupled to the person, object or vehicle; comparing, by the computing system, first images of the video to pre-stored second images to identify geographic locations where the first images were captured by the portable camera; analyzing, by the computing system, the identified geographic locations to verify that the person, object or vehicle is (1) traveling along a correct path, (2) traveling towards a facility for which the person, object or vehicle has authorization to enter, or (3) traveling towards a zone or secured area internal or external to the facility for which the person, object or vehicle has authorization to enter; and transmitting a notification from the computing system indicating the results of the analyzing.

Abstract: Systems and methods for location identification and tracking of a person, object and/or vehicle. The methods involve: obtaining, by a computing system, a video of a surrounding environment which was captured by a portable camera coupled to the person, object or vehicle; comparing, by the computing system, first images of the video to pre-stored second images to identify geographic locations where the first images were captured by the portable camera; analyzing, by the computing system, the identified geographic locations to verify that the person, object or vehicle is (1) traveling along a correct path, (2) traveling towards a facility for which the person, object or vehicle has authorization to enter, or (3) traveling towards a zone or secured area internal or external to the facility for which the person, object or vehicle has authorization to enter; and transmitting a notification from the computing system indicating the results of the analyzing.

Abstract: Systems (100) and methods (600) for determining a location of an object within space. The methods comprise: generating Inertial Reference Measurement Data (“IRMD”); reading RFID inventory tags by an RFID reader; processing IRMD to determine an RFID reader orientation and position estimates at a time of each RFID inventory tag read; defining cones associated with each RFID inventory tag; mapping the cones to a model; analyzing the model to identify a set of cones which overlap each other and are associated with reads for a respective RFID inventory tag; and deriving a position estimate for the respective inventory tag based on intersecting portions of the cones in the set of cones. Each cone has: a vertex which is the RFID reader position estimate at a respective time; and an angle which is in inverse proportion to a signal strength of a signal received from a respective RFID inventory tag.

Abstract: Systems and methods for location identification and tracking of a person, object and/or vehicle. The methods involve: obtaining, by a computing system, a video of a surrounding environment which was captured by a portable camera coupled to the person, object or vehicle; comparing, by the computing system, first images of the video to pre-stored second images to identify geographic locations where the first images were captured by the portable camera; analyzing, by the computing system, the identified geographic locations to verify that the person, object or vehicle is (1) traveling along a correct path, (2) traveling towards a facility for which the person, object or vehicle has authorization to enter, or (3) traveling towards a zone or secured area internal or external to the facility for which the person, object or vehicle has authorization to enter; and transmitting a notification from the computing system indicating the results of the analyzing.

Abstract: Systems (100) and methods (600) for determining a location of an object within space. The methods comprise: generating Inertial Reference Measurement Data (“IRMD”); reading RFID inventory tags by an RFID reader; processing IRMD to determine an RFID reader orientation and position estimates at a time of each RFID inventory tag read; defining cones associated with each RFID inventory tag; mapping the cones to a model; analyzing the model to identify a set of cones which overlap each other and are associated with reads for a respective RFID inventory tag; and deriving a position estimate for the respective inventory tag based on intersecting portions of the cones in the set of cones. Each cone has: a vertex which is the RFID reader position estimate at a respective time; and an angle which is in inverse proportion to a signal strength of a signal received from a respective RFID inventory tag.