CREATING AND USING PROFILES FROM SURVEILLANCE RECORDS
Systems and methods for monitoring an area with a variety of different-type sensors to obtain records that are related to create profiles are disclosed. The created profiles reveal relationships between sensed data items from the surveillance network. The profiles may be updated over time to edit, refine, and expand the understanding of these relationships. In addition, “normal” behaviors for profiles and/or relationships between profiles may be established and monitored.
1 . A method for creating profiles from data gathered using a surveillance system, the method comprising:
surveilling an area using a plurality of sensors to obtain records, wherein each record is one of a plurality of record types, and wherein each record includes (i) sensed data corresponding to the record type and (ii) a date, a time, and a location corresponding to the sensed data;
relating records of different record types by correlating the date, time, and location of the records;
creating profiles based on the related records.
2 . The method according to claim 1 , wherein the plurality record types include a vehicle record, a mobile device record, an employee record, and/or personal record.
3 . The method according to claim 2 , wherein the sensed data for a vehicle record is a license plate number, a vehicle make, a vehicle model, and/or a vehicle color.
4 . The method according to claim 2 , wherein the sensed data for a mobile device record is a media access control (MAC) address, an international mobile station equipment identity (IMEI) number, and/or an international mobile subscriber identity (IMSI) number.
5 . The method according to claim 2 , wherein the sensed data for an employee record is a name and/or an identification number.
6 . The method according to claim 2 , wherein the sensed data for a personal record is a name, an address, and/or a facial image.
7 . The method according to claim 1 , further comprising:
updating previously created profiles by relating obtained records that at least partially match the sensed data in the previously created profiles.
8 . The method according to claim 7 , further comprising:
deriving a profile behavior based on the related records of a profile.
9 . The method according to claim 8 , wherein the profile behavior is a particular route through an area at a particular time, and at a particular speed.
10 . The method according to claim 9 , further comprising:
linking profiles together as companion profiles if the profile behaviors for the profiles match.
11 . The method according to claim 8 , further comprising:
comparing a profile's profile behavior at a first time to the profile's profile behaviors at other times to determine a normal profile behavior.
12 . The method according to claim 1 , wherein the relating records of different record types by correlating the date, time, and location of the records, comprises:
selecting a first record;
executing a first search of records to find records that match the first record's date, time, and location;
adding the matching records to a candidate list;
selecting a subsequent record, wherein the subsequent record's sensed data matches the first record's sensed data;
executing a subsequent search of records to find records that match the subsequent record's date, time, and location;
deleting records from the candidate list that were not also found in the subsequent search;
repeating the process of selecting subsequent records, executing subsequent searches, deleting records from the candidate list, and updating the relationship likelihood until one record remains in the candidate list, and
relating the remaining record in the candidate list to the first and subsequent records.
13 . A surveillance system, comprising:
a plurality of sensors arranged in different locations and gathering sensed data, wherein the plurality of sensors comprises sensors of different types;
a sensor management system receiving sensed data from the plurality of sensors and creating records from the received sensed data, wherein each record includes (i) the sensed data from a sensor and (ii) a date, a time, and a location corresponding to the sensed data, and wherein each record is assigned a particular record type that corresponds with the sensed data;
a database receiving and storing the records from the sensor management system; and
a relations system communicatively coupled to the database, wherein the relations system includes a processor configured by software to:
identify relationships between records of different types by correlating the date, time, and location of the records of different types, and
create profiles based on the related records, the profiles stored in the database.
14 . The surveillance system according to claim 13 , wherein the plurality of sensors include a sensor to capture license plate numbers.
15 . The surveillance system according to claim 13 , wherein the plurality of sensors include a sensor to capture a mobile device's media access control (MAC) address.
16 . The surveillance system according to claim 13 , wherein the plurality of sensors include a sensor to recognize faces.
17 . The surveillance system according to claim 13 , wherein the plurality of sensors include a sensor to read a badge or a card.
18 . The surveillance system according to claim 13 , wherein the relations system identifies relationships and creates profiles as a result of a search of the database for sensed data.
19 . The surveillance system according to claim 13 , wherein the relations system identifies relationships and creates profiles automatically and periodically.
20 . The surveillance system according to claim 13 , wherein the relations system's processor is further configured by software to:
link profiles by correlating data between profiles.