Patent ID: 7944468
Filing Date: 2011-05-17
Classification: G08B

Abstract:
1. A method of predictive threat detection utilizing data collected via a ubiquitous sensor network spread over a plurality of sites in an urban environment, the sites being classified according to site threat level, the method comprising: a. triggering an inquiry regarding a suspect entity at a current site in response to commission of a triggering action by the suspect entity; b. backtracking the suspect entity in response to the inquiry by collecting the data from each site at which the suspect entity was detected by the sensor network; c. compiling a data set including a list of the sites at which the suspect entity was detected and the data corresponding thereto; and d. comparing the list of sites included within the data set to the corresponding site threat level to determine a threat status regarding the suspect entity; e. analyzing the data within the data set of the suspect entity to determine whether an interaction took place between the suspect entity and a subsequent entity; f. upon determining that the interaction took place between the suspect entity and the subsequent entity, automatically repeating the backtracking, compiling, and comparing steps for the subsequent entity to determine a threat status regarding the subsequent entity; g. analyzing the data within the data set of the subsequent entity to determine whether an interaction took place between the subsequent entity and an additional subsequent entity; and h. upon determining that the interaction took place between the subsequent entity and the additional subsequent entity, automatically repeating the backtracking, compiling, and comparing steps for the additional subsequent entity to determine a threat status regarding the additional subsequent entity.