Intelligent observation and identification database system

• US 7,902,978 B2
• Filed: 10/20/2008
• Issued: 03/08/2011
• Est. Priority Date: 08/23/2002
• Status: Expired due to Term

• Current Assignee: Federal Law Enforcement Development Services, Inc.
• Original Assignee: John C. Pederson
• Inventors: Pederson, John C.
• Primary Examiner(s): Blount; Eric M
• Application Number:
  US12/254,587
• Publication Number:
  US 20090072972A1
• Time in Patent Office: 869 Days
• Field of Search: 340/540, 340/541, 340/937, 340/550, 382/118, 382/115
• US Class Current: 340/541
• CPC Class Codes: G06F 16/50 of still image data
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition
• CPC Class Codes: G08B 13/19613 Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
• CPC Class Codes: G08B 13/19645 Multiple cameras, each having view on one of a plurality of scenes, e.g. multiple cameras for multi-room surveillance or for tracking an object by view hand-over
• CPC Class Codes: G08B 13/19647 Systems specially adapted for intrusion detection in or around a vehicle
• CPC Class Codes: G08B 13/19652 Systems using zones in a single scene defined for different treatment, e.g. outer zone gives pre-alarm, inner zone gives alarm
• CPC Class Codes: G08B 13/19663 Surveillance related processing done local to the camera
• CPC Class Codes: G08B 13/19665 Details related to the storage of video surveillance data television signal recording H04N5/76
• CPC Class Codes: G08B 13/19667 Details realated to data compression, encryption or encoding, e.g. resolution modes for reducing data volume to lower transmission bandwidth or memory requirements
• CPC Class Codes: G08B 13/19671 Addition of non-video data, i.e. metadata, to video stream
• CPC Class Codes: G08B 13/22 Electrical actuation
• CPC Class Codes: G08B 31/00 Predictive alarm systems characterised by extrapolation or other computation using updated historic data
• CPC Class Codes: H04N 7/18 Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources
• CPC Class Codes: H04N 7/183 for receiving images from a single remote source
• CPC Class Codes: Y10S 436/90 Breath testing

Abstract

An intelligent video/audio observation and identification database system may define a security zone or group of zones. The system may identify vehicles and individuals entering or exiting the zone through image recognition of the vehicle or individual as compared to prerecorded information stored in a database. The system may alert security personnel as to warrants or other information discovered pertaining to the recognized vehicle or individual resulting from a database search. The system may compare images of a suspect vehicle, such as an undercarriage image, to standard vehicle images stored in the database and alert security personnel as to potential vehicle overloading or foreign objects detected, such as potential bombs. The system may track individuals or vehicles within a zone or between zones. The system may further learn the standard times and locations of vehicles or individuals tracked by the system and alert security personnel upon deviation from standard activity.

Claims

1. A method for identifying security investigations comprising:

a) establishing at least one security zone;

b) positioning at least one optical input device to observe said at least one security zone;

c) connecting said at least one optical input device to a computer, said computer comprising at least one evolving database;

d) observing occurrences within said at least one security zone and communicating the observed occurrences to the at least one evolving database;

e) storing the observed occurrences within the at least one evolving database;

f) defining patterns of data from said at least one evolving database for the at least one security zone;

g) observing additional occurrences within said at least one security zone and communicating the observed additional occurrences to the at least one evolving database;

h) processing the observed additional occurrences within the computer as compared to the patterns of data from the at least one evolving database; and

i) issuing a signal to a security officer to investigate an occurrence.

2. The method of claim 1, further comprising a plurality of optical input devices arranged into said at least one security observation zone, wherein said computer receives data from said plurality of optical input devices for tracking at least one vehicle through said at least one security observation zone.

3. The method of claim 2, further comprising a plurality of computers, wherein at least one of said plurality of computers is located within each of said at least one security observation zones.

4. The method of claim 3, wherein said plurality of computers are in communication with each other to compile said at least one evolving database.

5. A method for identifying security investigations comprising:

a) establishing at least one security zone;

b) positioning a plurality of optical input devices into each of said at least one security zones to observe each of said at least one security zones;

c) connecting at least one of said plurality of optical input devices to at least one of a plurality of computers, said plurality of computers being in communication with a mainframe computer, said mainframe computer having a mainframe database, at least one of said plurality of computers comprising at least one evolving database, wherein said at least one computer receives data from at least one of said plurality of optical input devices for tracking at least one vehicle through said at least one security zone, at least one of said plurality of computers being located within each of said at least one security zones, wherein said plurality of computers are in communication with each other to compile said at least one evolving database;

d) observing occurrences within said at least one security zone and communicating the observed occurrences to at least one of said plurality of computers;

e) storing the observed occurrences within at least one of said plurality of computers to create at least one database for the security zone;

f) processing the observed occurrences within the computer as compared to stored or retrieved data available to the computer; and

g) issuing a signal to a security officer to investigate an occurrence.

6. The method of claim 5, wherein at least one of said plurality of computers is in communication with at least one external database.

7. The method of claim 6, further comprising comparison software in communication with at least one of said plurality of computers and said at least one evolving database.

8. The method of claim 7, further comprising sensitivity software in communication with at least one of said plurality of computers and said at least one evolving database.

9. The method of claim 8, wherein said sensitivity software is constructed and arranged to issue said at least one investigation signal to one of a security and law enforcement personnel.

10. The method of claim 9, wherein at least one of said plurality of computers comprises at least one defined profile.

11. The method of claim 10, wherein said at least one defined profile is constructed and arranged as a search query for communication with said at least one evolving database.

12. The method of claim 11, wherein said sensitivity software includes probability analysis software.

13. The method of claim 12, wherein said probability analysis software is in communication with threshold criteria for issuance of said at least one investigation signal.

14. The method of claim 13, wherein said sensitivity software ranks said at least one investigation signal as selected from the group consisting of high priority, intermediate priority, low priority, and normal priority.

15. The method of claim 14, said at least one evolving database comprising at least one type of data selected from the group consisting of license plate registration data, vehicle history data, standard vehicle image data, exterior vehicle image data, vehicle profile image data, vehicle undercarriage image data, vehicle specification data, personnel identification data, facial image data, profile image data, fingerprint data, palm print data, and voice identification data.

16. The method of claim 15, wherein at least one of said plurality of optical input devices is selected from the group consisting of fingerprint scanners, palm scanners, microphones, retinal scanners, and cameras.