Intelligent observation and identification database system

• US 20040199785A1
• Filed: 08/22/2003
• Published: 10/07/2004
• Est. Priority Date: 08/23/2002
• Status: Active Grant

• Current Assignee: Federal Law Enforcement Development Services, Inc.
• Original Assignee: John C. Pederson
• Inventors: Pederson, John C.
• Granted Patent: US 7,439,847 B2
• Time in Patent Office: Days
• US Class Current: 340/293
• 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 a security zone;

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

c) connecting the optical input devices to a computer;

d) observing occurrences within the security zone and communicating the observed occurrences to the computer;

e) storing the observed occurrences within the computer to create a 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.

2. An apparatus for identifying a vehicle and likely driver comprising:

an optical input device;

a computer;

a database containing information;

and a display;

wherein said computer receives an image of an approaching vehicle'"'"'s license plate from said optical input device, said computer searches said database and identifies information relevant to the license plate and identifies an expected driver of the vehicle;

and wherein said computer receives an actual driver image of said vehicle'"'"'s actual driver from said optical input device, said computer compares said actual driver image with a prerecorded image of the expected driver and determines whether the actual driver image is substantially similar to said expected driver image.