Systems, methods and apparatuses for identifying person of interest

#The systems, methods and apparatuses described herein relate to improved identification of a person of interest using computer implemented techniques, in particular, identification of a person of interest against pre-defined profiles at a checkpoint such as a border or security checkpoint.

#For security and identification purposes, travelers travelling via air, land, and/or water typically have to go through checkpoints, at which their travel documents such as drivers licenses or passports are checked. The conventional way of checking the travel documents is to check each traveler's identification information (e.g., name) against a watch list maintained in a computer database. If a traveler's identification matches an entry in a watch list, the traveler may receive special treatment, such as being further questioned, detained, rejected, deported, etc.

#Checking travelers' information against a watch list, while useful, has serious deficiencies. For example, the watch list check often merely compares the name on a traveler document to names on a watch list. Moreover, the watch list has to be previously compiled and stored at a central location to be accessed by checkpoints across a region or country. Therefore, the watch list is not a robust solution and does not provide a holistic approach to identification of person of interest at checkpoints. Accordingly, what is needed are systems, methods and apparatuses for identifying a person of interest by evaluating risk probabilities using a holistic approach in real time.

#FIG. 1 is a block diagram of an exemplary system according to the present disclosure.

#FIG. 2 is a block diagram of an exemplary profile according to the present disclosure.

#FIG. 3 is a block diagram of one exemplary database architecture according to the present disclosure.

#Certain illustrative aspects of the systems, apparatuses, and methods according to the present invention are described herein in connection with the following description and the accompanying figures. These aspects are indicative, however, of but a few of the various ways in which the principles of the invention may be employed and the present invention is intended to include all such aspects and their equivalents. Other advantages and novel features of the invention may become apparent from the following detailed description when considered in conjunction with the figures.

#In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the invention. In other instances, well known structures, interfaces, and processes have not been shown in detail in order not to unnecessarily obscure the invention. However, it will be apparent to one of ordinary skill in the art that those specific details disclosed herein need not be used to practice the invention and do not represent a limitation on the scope of the invention, except as recited in the claims. It is intended that no part of this specification be construed to effect a disavowal of any part of the full scope of the invention. Although certain embodiments of the present disclosure are described, these embodiments likewise are not intended to limit the full scope of the invention.

#The present disclosure comprises systems, methods and apparatuses for identifying a person of interest (POI). In certain embodiments, a computer implemented POI system may be provided. The POI system may include one or many computers as terminals and one or more many computers as server(s). The terminals may provide client side software, for example, to interact with authorized users manning the terminals to enter traveler information and to display alerts and messages to the authorized users. The servers may have one or more databases to store data and server side software doing data processing. The data stored on the server(s) may include data received from a variety external sources stored in a parameterized table. a first set of category views created on the parameterized table, a second set of category views created at least in part on data to be derived from a traveler's personal information to be received, and one or more pre-defined profiles. During operation, a traveler's information may be received at a terminal and whether the traveler is a person of interest may be determined by evaluating the personal information against the one or more pre-defined profiles using the first and second sets of category views. Each of the one or more pre-defined profiles may comprise one or more rules and a threshold value for determining a likelihood for the traveler to be matched in each of the one or more pre-defined profiles.