Systems and methods for object localization and path identification based on rfid sensing

Abstract

A monitoring system includes a first sensor and a second sensor, at least one of which is a camera. A computer system coupled to the first and second sensors includes a memory and stored object types and associations between objects of the object types. The computer system is configured to infer a first association between a first and second object by retrieving an input from at least one of the sensors, determining the object types of the first and second objects and inferring a specific interaction at a monitored location based on the sensor inputs.

1 . A monitoring system comprising:
 a first sensor;   a second sensor, at least one of the first sensor or the second sensor being a camera;   a computer system coupled with the first sensor and the second sensor;   a memory associated with the computer system, the memory storing a first object type and a second object type, at least one specific interaction, and a plurality of associations between the first object type and the second object type;   the computer system being configured to infer a first association from among the plurality of associations between a first object of the first object type and a second object of a second object type by:
 receiving an input from at least one of the first sensor or the second sensor; 
 determining that the first object is of the first object type and that the second object is of the second object type based on the received sensor inputs; 
 inferring, based on a monitored location at a first time and further based on the received sensor inputs, the at least one specific interaction between the first object of the first object type and the second object of the second object type; and 
   inferring the first association between the first object and the second object from among the plurality of associations, based on the determined first object type, the second object type, and the inferred specific interaction.   
     
     
         2 . The monitoring system of  claim 1 , wherein the first association between the first object and the second object is further inferred based on a determined disappearance of the first object and the second object at the monitored location within an interval of time. 
     
     
         3 . The monitoring system of  claim 1 , wherein at least one of the first and second object is a person. 
     
     
         4 . The monitoring system of  claim 1 , wherein at least one of the first object and second object is a vehicle. 
     
     
         5 . The monitoring system of  claim 1 , wherein the memory further stores a plurality of endpoints and at least one semantic attribute associated with at least one endpoint from among the plurality of endpoints, and further wherein the system is configured to associate the semantic attribute with the inferred first association. 
     
     
         6 . The monitoring system of  claim 1 , wherein the system further stores a plurality of access control rules and further wherein at least one access control rule from among the plurality of access control rules is applied based on the inferred first association. 
     
     
         7 . The monitoring system of  claim 1 , wherein the inferred first association is further associated with an access control action. 
     
     
         8 . The monitoring system of  claim 5 , wherein the associated semantic attribute comprises a semantic weight. 
     
     
         9 . The monitoring system of  claim 5 , wherein the first association between the first object and the second object is invalidated based on the semantic attribute. 
     
     
         10 . The monitoring system of  claim 9 , wherein the system is configured to invalidate the sematic attribute after an interval of time.