Methods for identifying a vehicle from captured image data

• US 9,990,376 B2
• Filed: 06/22/2016
• Issued: 06/05/2018
• Est. Priority Date: 06/23/2015
• Status: Active Grant

• Current Assignee: Hunter Engineering Company
• Original Assignee: Hunter Engineering Company
• Inventors: Voeller, David A., Heine, William D., Klarer, John D.
• Primary Examiner(s): Nwugo, Ojiako
• Application Number:
  US15/190,008
• Publication Number:
  US 20160379487A1
• Time in Patent Office: 713 Days
• Field of Search: 340937, 340293, 3409322, 340933
• CPC Class Codes: G06F 16/51 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/583 using metadata automatically derived from the content
• CPC Class Codes: G06V 10/245 by locating a pattern; Special marks for positioning
• CPC Class Codes: G06V 20/48 Matching video sequences
• CPC Class Codes: G06V 20/584 of vehicle lights or traffic lights
• CPC Class Codes: G06V 20/625 License plates
• CPC Class Codes: G08G 1/0175 by photographing vehicles, e.g. when violating traffic rules
• CPC Class Codes: H04N 23/60 Control of cameras or camera modules
• CPC Class Codes: H04N 23/80 Camera processing pipelines; Components thereof
• CPC Class Codes: H04N 23/90 Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums

Abstract

An imaging sensor observes a field of view through which a vehicle passes, at an orientation and position suitable for acquisition of license plate data from a surface of the vehicle. Responsive to the vehicle position, at least one image of a surface of the vehicle including a license plate is acquired and evaluated to extract license plate data. The position of the vehicle for acquisition of the image is established by a trigger in a fixed relationship with the imaging sensor.

Claims

1. A vehicle identification process for use with a vehicle service system, comprising:

monitoring an observation area through which a vehicle will pass to detect the presence of said vehicle by acquiring measurements representative of a distance to a surface within said monitored observation area, said distance measurements acquired along a measurement axis which is intersected by the presence of a vehicle within said monitored observation area, whereby said measured distance is decreased when said vehicle is present, indicating a detection of said vehicle;

responsive to a detection of said vehicle within said monitored observation area, acquiring at least one image of a surface of the vehicle on which a license plate is expected;

processing said at least one acquired image to detect the presence of a license plate on the vehicle and to extract identifying data from said image, said identifying data associated with said detected license plate; and

associating said extracted identifying data with at least one item of vehicle-specific data.

2. The vehicle identification process of claim 1 wherein said measurement axis is parallel to an optical axis of said imaging system.

3. The vehicle identification process of claim 1 wherein said measurements representative of distance are acquired acoustically.

4. A vehicle identification process for use with a vehicle service system, comprising:

monitoring an observation area through which a vehicle will pass to detect the presence of said vehicle;

responsive to a detection of said vehicle within said monitored observation area, acquiring at least one image of a surface of the vehicle on which a license plate is expected;

processing said at least one acquired image to detect the presence of a license plate on the vehicle and to extract identifying data from said image, said identifying data associated with said detected license plate;

associating said extracted identifying data with at least one item of vehicle-specific data; and

wherein said step of monitoring includes;

a. establishing an optical target feature within said monitored observation area, said optical target feature established in a fixed position which is obscured from a field of view of an imaging sensor monitoring said observation area by a presence of said vehicle within said monitored observation area;

b. acquiring a sequence of images of said field of view;

c. evaluating each of said images to detect a presence or an absence of said optical target feature within each of said images;

d. detecting a presence of said vehicle in response to an observed presence of said optical target feature in an image occurring prior to an observed absence of said optical target feature in a subsequent image; and

e. detecting a departure of said vehicle in response to an observed presence of said optical target feature in an image occurring subsequent to an observed absence of said optical target feature in a preceding image.

5. The vehicle identification process of claim 4 wherein said at least one item of vehicle-specific data is retrieved from a database.

6. The vehicle identification process of claim 4 wherein said at least one item of vehicle-specific data includes at least one of a vehicle identification number, a vehicle make, a vehicle model, a vehicle owner, a vehicle service history, a vehicle recall record, a recommended vehicle service, or vehicle inspection results.

7. The vehicle identification process of claim 4 wherein said at least one item of vehicle-specific data is an image of said vehicle.

8. The method of claim 4 wherein said step of evaluating includes selectively processing only a region of each acquired image to identify the presence or absence of said optical target feature, said region of each acquired image associated with a set of image pixels which are optically aligned with an expected location of said optical target feature in said observation area.

9. The method of claim 4 wherein said optical target feature is located such that either a rear surface of said vehicle is present within said observation area when visibility of said optical target feature is initially restored to said imaging sensor by movement of said vehicle;

or

a front surface of said vehicle is present within said observation area when visibility of said optical target feature is initially obscured from said imaging sensor by movement of said vehicle.

10. A vehicle identification method for use with a vehicle inspection system, comprising:

monitoring an observation area through which a vehicle undergoing inspection will pass to detect a presence of said vehicle by acquiring measurements, each representative of a distance to a surface within said monitored area, along a common axis intersected by a passage of said vehicle through said monitored area, whereby said vehicle is detected in response to said measurements decreasing during said passage of said vehicle;

responsive to subsequent detection of said vehicle within said monitored observation area, acquiring at least one image of a surface of said vehicle on which a license plate is present;

processing said at least one acquired image to extract identifying license plate data; and

associating said extracted identifying license plate data with at least one item of vehicle-specific data; and

responsive to said measurements returning to a baseline distance following a detected passage of said vehicle, indicating said departure of said detected vehicle from said monitored area.

11. The method of claim 10 wherein said step of associating said extracted identifying license plate data includes retrieving said at least one item of vehicle-specific data from a database of vehicle-specific data indexed by said identifying license plate data.

12. The method of claim 11 wherein said at least one item of vehicle-specific data is a vehicle identification number.

13. The method of claim 11 wherein said database is a remote database, and wherein said identifying license plate data and said at least one item of vehicle-specific data are conveyed over a communications network between said vehicle inspection system and said remote database.

14. The method of claim 10 wherein said at least one item of vehicle-specific data is said acquired image.

15. A vehicle identification system configured to automatically identify a vehicle present in a vehicle service area, comprising:

an imaging system disposed to acquire at least one image of a surface on a vehicle present within said vehicle service area;

a processing system configured to receive said acquired images from said imaging system, said processing system further configured to evaluate said acquired images to detect the presence of a license plate on the vehicle surface and to extract identifying data associated with said detected license plate from said image;

wherein said processing system is further configured to associate said extracted identifying data with at least one item of vehicle specific data;

wherein said processing system is further configured to receive a signal from a vehicle measurement system, said signal indicating the presence of a vehicle within said vehicle service area; and

wherein said processing system is configured to signal said imaging system to acquire said at least one image of a vehicle surface in response to said signal from said vehicle measurement system.

16. The vehicle detection system of claim 15 wherein said vehicle measurement system is one of a drive-over tire tread depth measurement system, a drive-over brake test system, a vehicle weight scale, a vehicle body condition recording system, or a vehicle wheel alignment measurement system.

17. The vehicle detection system of claim 15 wherein said at least one item of vehicle specific data is stored in a remote database in association with vehicle license plate data;

and

wherein said processing system is configured to communicate said extracted identifying data to said remote database to retrieve said at least one item of vehicle specific data.

18. The vehicle detection system of claim 15 wherein said item of vehicle specific data includes at least one of a vehicle identification number, a vehicle photograph, a vehicle make, a vehicle model, a vehicle owner, a vehicle service history, a vehicle recall record, a recommended vehicle service, or a vehicle inspection result.